Google Cloud Platform Business Professional Accreditation Answers 2022
GCP Certification, Google Cloud Platform is a set of cloud computing services offered by Google. It can be used to power applications in the areas of big data, machine learning, artificial intelligence, and much more.
The Google Cloud Platform Business Professional Accreditation is a certification program that will help you gain the skills and knowledge to develop, launch, and manage your applications on the Google Cloud Platform. In this section, I will be discussing the Google Cloud Platform Business Professional Accreditation Answers. These are questions and answers from the Google Cloud Platform Business Professional Accreditation exam. The answers are in order from easiest to hardest.
Google Cloud Platform Business Professional Accreditation Exam includes The three modules
- GCP Compute
- GCP Storage and Databases
- GCP Big Data and Machine Learning
Google
Cloud Platform Business Professional Accreditation Answers 2022 was created to
help people pass the Google Cloud Platform Business Professional Accreditation
Exam. It is designed for those who need help passing the exam, but are not
willing to pay for assistance from an expert or attend a training program.
The
Google Cloud Platform Business Professional Accreditation is a difficult exam
to pass. There are many questions that are not easy to answer and it is
important to be well prepared before you take the test. This article will
provide correct answers to the Google Ads Search Certification on how to pass
the exam.
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Google Cloud Platform Business Professional Accreditation Exam Details:
- Questions: 95 questions
- Time limit: No limit to completing the assessment
- Pass rate: 80% or higher to pass
- Retake period: If you don’t pass the assessment, you can take it again after 1 day
- Validity Period: 12 Months
Note: You are at the right place if you are looking for the Google Cloud Platform Business Professional Accreditation Exam Answers 2022. here you will find the Google Cloud Platform Business Professional Accreditation Exam right answer is marked as a "Red Color".
GCP Certification Part 1. Assessment: GCP Compute
Which of these key
terms indicate a business-related challenge that App Engine addresses?
A.
patching zero-day
exploits
B.
testing datasets for
machine learning
C.
time
to market
D.
control of virtual
machines
As a computing
platform provided as a service, how does App Engine provide value?
A.
App Engine deploys and
maintains a fleet of VMs that enable organizations to create containerized
workloads.
B.
App
Engine saves organizations time and cost in software application development by
eliminating the need to buy, build, and operate computing hardware and other
infrastructure.
C.
App Engine routes
packets across the globe and stores data at the edge of the network closest to
the user so that the organization’s data is where their users need it.
D.
App Engine allows
organizations to manage a server or runtime environment.
Which product included
in Google Cloud networking serves content to end users with high availability
and high performance?
A.
Cloud DNS
B.
Virtual Private Cloud
C.
Cloud
CDN
D.
Cloud Interconnect
Compute Engine is
ideal for organizations that:
A.
Need
complete control over the virtual-machine infrastructure.
B.
Need
a fully managed database service.
C.
Don’t
want to touch a server or infrastructure.
D.
Need
to connect and extend cloud services.
What business value
can Firebase provide?
A.
developer productivity
B.
SDKs and consoles
available
C.
saving
time and cost
D.
ease of use
Organizations can
build apps that run on Kubernetes Engine that: (Select the 2 correct answers)
A.
Select All Correct
Responses
B.
Can connect to and
extend cloud services.
C.
Will
scale up to handle massive computing loads quickly and efficiently.
D.
Have high availability
without a complex architecture.
E.
Are
highly secure and reliable and backed by Google’s service level agreement.
What challenges are
addressed by Google Cloud networking?
A.
Select
All Correct Responses
B.
Worldwide
autoscaling and load balancing
C.
Content delivery
network
D.
Monitor app stability
and performance
E.
More rapid application
development
How does Cloud
Functions connect and extend cloud services?
A.
It
provides a layer of logic so that organizations can write code to access other
services.
B.
It removes unnecessary
data from a container.
C.
It patches operating
systems.
D.
It adds files to a
storage system.
What is a software
container?
A.
A container imitates a
computer.
B.
A container answers
queries of very large datasets.
C.
A container is a fully
managed database service.
D.
A
container makes it easier for teams to package, manage, and ship their code.
Which statement best
describes where Google Cloud networking fits within GCP?
A.
Organizations
benefit from Google’s superb networking.
B.
Google Cloud
networking only operates outside of GCP.
C.
For the past 15 years,
GCP has been building out a fast, powerful, high quality cloud infrastructure.
D.
When every millisecond
of latency counts, Google Cloud networking ensures that content is delivered
with high throughput.
Which of these
statements best expresses what you can do with Cloud Functions?
A.
“With
Cloud Functions, I can write simple, single-purpose functions that are attached
to events emitted from my cloud infrastructure and services.”
B.
“Thanks to Cloud
Functions, I finally have a platform to build my apps, allowing me to focus on
fine-tuning the customer experience rather than on maintaining my
infrastructure.”
C.
“I now have
practically unlimited computing power by using virtual machines (VMs) through
Cloud Functions.”
D.
“Cloud Functions saves
me time and money in software application development by eliminating the need
to buy, build, and operate computing hardware and other infrastructure.”
Which of the following
best defines Compute Engine?
A.
Compute
Engine provides practically unlimited computing power using virtual machines
(VMs) in the cloud.
B.
Compute Engine is a
type of software-as-a-service (SaaS).
C.
Compute Engine provides
innovative storage solutions using an open source container-orchestration
system.
D.
Compute Engine is a
computing platform provided as a service, called a “platform-as-a-service”
(PaaS).
What business value
can Compute Engine provide?
A.
Compute Engine provides
better kernel-level control and encrypti on.
B.
Compute Engine
automates with event-driven functions that respond to cloud events.
C.
Compute
Engine makes it easy to create and configure high-performance VMs that will
quickly and easily scale to any size workload.
D.
Compute Engine stores
and serves object (or BLOB) data.
Mobile app teams can
integrate their mobile apps with one of the available __________ and manage the
integrated Firebase services via _____________ which includes tools from Google
for developing apps, engaging with users, and earning more through mobile ads.
A.
containers, Docker
B.
VMs (virtual
machines), App Engine
C.
SDKs
(software development kits), the console
D.
data kits, the
interface
What business value
can Kubernetes Engine provide?
A.
Scaling
without downtime.
B.
Seamlessly migrate
code from development to production.
C.
Improve application
reliability through integrated health checking.
D.
Maximize resource
utilization.
Firebase helps mobile
application development teams:
A.
Develop
faster and easier with cloud backend services.
B.
Eliminate the need to
buy, build, and operate computing hardware.
C.
Transfer data from
on-premises to the cloud.
D.
Route packets across
the globe and store data closest to the user.
Which product included
in Google Cloud networking allows organizations to connect GCP resources in a
separate network or domain and isolate them from each other for security and
compliance?
A.
Virtual
Private Cloud
B.
Cloud CDN
C.
Cloud Interconnect
D.
Cloud DNS
How does Compute
Engine provide the same computing power that Google uses for its
infrastructure?
A.
By focusing on writing
code and not touching a server, cluster, or infrastructure.
B.
By reducing costs.
C.
By improving quality
and time to market.
D.
By
using virtual machines (VMs) in the cloud.
Which of these is an
example of a challenge addressed by Cloud Functions?
A.
Big data complexity
B.
Insufficient storage
C.
Development
agility
D.
App infrastructure
Compared to Compute
Engine and App Engine, what type of solution is Kubernetes Engine?
A.
Serverless Logic
B.
IaaS
C.
PaaS
D.
Hybrid
What is Kubernetes
Engine?
A.
Kubernetes Engine
provides practically unlimited computing power using virtual machines (VMs) in
the cloud.
B.
Kubernetes Engine is a
solution meant to help organizations achieve zero ops.
C.
Kubernetes Engine is
built on the closed-source Kubernetes system, making it easy to orchestrate
container clusters or groups of containers.
D.
Kubernetes
Engine is a managed environment for deploying containerized apps.
What are some
challenges that Firebase addresses? Select the 2 correct answers.
A.
Select All Correct
Responses
B.
Monitor
app stability and performance
C.
Content delivery
network
D.
More
rapid application development
E.
Worldwide autoscaling
and load balancing
Which of the following
is a benefit provided by Cloud Functions?
A.
Relational database
B.
User authentication
C.
Machine learning
D.
Serverless
economics
What is the definition
of a “network” in relation to GCP?
A.
A
“network” is an isolated, global resource holding configuration.
B.
A “network” is an SDK
available across most popular mobile platforms.
C.
A “network” is a
container deployed regionally via the cloud.
D.
A “network” is a
series of instances deployed at the global network level.
Of the four GCP
options that are aligned with where the code needs to run, App Engine is:
A.
The
infrastructure-centric solution
B.
The serverless logic
solution
C.
In the middle
(cluster)
D.
The
platform-centric solution
What service do
organizations receive with App Engine that meets key developer needs?
A.
User
authentication, versioning, and robust security tools like Cloud Security
Scanner
B.
TensorFlow for machine
learning models and algorithms
C.
Messaging service to
pass data from gathering and processing systems
D.
Portability achieved
by using Docker and Kubernetes
How does Compute
Engine improve quality and time to market?
A.
Google bills in
per-second increments, so you only pay for the compute time you use. With
sustained use discounts, Google automatically gives discounted prices for
long-running workloads with no up-front commitment required.
B.
Google can capture up
to a petabyte of data on one Transfer Appliance without impacting the outbound
network.
C.
Google-grade
data centers give you scale and security that would be very expensive to
achieve on-premises.
D.
Google’s global
private network is superior in performance to other clouds that route your
traffic over the internet.
During the app-building process, which of these challenges are relieved by App Engine that
organizations would have previously had to do on their own?
A.
Select the 3 correct
answers.
B.
Build
their own infrastructure.
C.
Make
sure it’s available night and day.
D.
Control over the
virtual-machine infrastructure.
E.
Grow
the app as their computing needs increase.
Developer agility
comes from building systems composed of small, independent units of
functionality focused on doing one thing well, so how does Cloud Functions help
improve developer agility?
A.
Cloud Functions lets
organizations that really value time to market build apps quickly.
B.
Cloud
Functions lets organizations build and deploy services at the level of a single
function, not at the level of entire applications, containers, or VMs.
C.
Cloud Functions lets
organizations deploy and maintain a fleet of VMs through a series of containers.
D.
Cloud Functions lets
organizations make changes to the kernel by providing their own network or
graphics drivers to squeeze out the last drop of performance.
Firebase is GCP’s
mobile extension. Several of Firebase’s products are built on top of GCP products,
providing mobile-optimized SDKs and capabilities. Which of these products can
be amplified via Firebase?
A.
Cloud SQL
B.
Cloud Engine
C.
Cloud Spanner
D. Cloud Storage
GCP Certification Part 2. Assessment: GCP Storage and Databases
What business
challenges does Cloud Bigtable address? Select the 2 correct answers.
A.
Access from storage to
compute servers within the region
B.
Scaling
without downtime
C.
Time
to market for data-intensive applications
D.
Fully managed
relational database
Organizations
considering Cloud Spanner often find ACID transactions valuable. What are ACID
transactions?
A.
Autonomous,
Centralized, Independent, Dependent
B.
Automatic, Constant
Infrastructure, Decentralized
C.
Analog, Chronological,
Intelligent, Database
D.
Atomic,
Consistent, Isolated, Durable
Which statement best
aligns with the role Cloud Spanner plays in GCP?
A.
Cloud Spanner is good
for configuring replications and applying updates.
B.
Cloud Spanner is good
for object database management at scale that requires the capacity to process
millions of objects in near real time.
C.
Cloud
Spanner is good for binary data such as images, media serving, and backups.
D.
Cloud Spanner is good
for relational database management systems at scale that require high
availability and HTAP.
How does Cloud SQL
address the challenge of compatibility?
A.
Cloud SQL builds on
performance innovations in Compute Engine and persistent disk.
B.
It’s easy to control
with less infrastructure for you to manage and operate.
C.
If
an organization’s app works with MySQL or PostgreSQL, it will work with Cloud
SQL.
D.
You don’t need to
reserve Cloud SQL instances ahead of time to get savings, and you pay by the
minute, not by the hour.
Cloud Spanner is:
A.
A managed environment
for deploying containerized apps.
B.
An
enterprise-grade, globally distributed, and strongly consistent managed
database service built for the cloud specifically to combine the benefits of
relational database structure with non-relational horizontal scale.
C.
A fully managed
database service that makes it easy to set up, maintain, manage, and administer
relational MySQL and PostgreSQL databases in the cloud.
D.
A tool for developing
and executing a wide range of data processing patterns on very large datasets.
Related to ease of
use, organizations can focus on their app, not their infrastructure, because
Cloud Spanner:
A.
Distributes
organizations’ load-balanced resources in single or multiple regions around the
globe, close to their users, to help them meet high-availability requirements.
B.
Eliminates
complex database tasks so there is no need to engineer a complex replication or
backup infrastructure.
C.
Reduces network
latency, offloads some work from the origin server, and reduces serving costs.
D.
Provides a layer of
logic that organizations can write code in order to access other services.
Considering where it
fits in the GCP, Cloud Datastore is good for:
A.
Highly structured databases or transactional
databases.
B.
Organizations
with non-relational data that want to reduce their operations burden with an
enterprise-grade database.
C.
Relational database
management at scale that requires high availability and HTAP.
D.
Flat data and
databases with lots of read-write actions.
With Cloud Spanner, if
one region goes offline, data can still be served from another region. How does
Cloud Spanner make this possible?
A.
Cloud Spanner captures
up to a petabyte of data on one Transfer Appliance without impacting the
outbound network.
B.
Cloud Spanner stores
and serves an unlimited number of objects and up to 5 terabytes of object data
for each.
C.
Cloud Spanner
automates loading data into BigQuery from YouTube, AdWords, and DoubleClick.
D.
Cloud
Spanner uses synchronous replication within and across regions to achieve
greater availability.
“High availability and
durability via replications is just there: you don’t need to think about it or
manage it. No scheduled downtime for upgrades, resizing or configuration
changes.” Which of the following concerns is addressed by this Cloud Datastore
value proposition?
A.
Infrastructure costs
B.
Performance
C.
Scalability
D.
Reliability
What is a data
transfer option offered by Google to help move data?
A.
Cloud Engine Transfer Service
B.
Cloud SQL Transfer
Service
C.
BigQuery
Data Transfer Service
D.
Hardline Transfer
What are some common
challenges that can be addressed by data transfer options?
A.
Manual transfers
B.
Topline transfers
C.
Hardline transfers
D.
Offline
transfers
Cloud Firestore is:
A.
An industry-leading
local SDD that integrates with the other products in the Google Cloud Platform
suite.
B.
An enterprise-grade
database service built for the cloud specifically to combine the benefits of
relational database structure with relational horizontal scale.
C.
A
flexible, scalable NoSQL cloud database to store and sync data for client- and
server-side development.
D.
A tool for developing
and executing a wide range of data processing patterns on very large datasets.
Connecting to Cloud
SQL databases looks the same as connecting to a MySQL or PostgreSQL database by
using:
A.
Non-traditional
transforms and standard tools like Hadoop.
B.
Standard
connectors and standard tools like MySQL workbench.
C.
Standard containers
and standard tools like BigQuery.
D.
Non-traditional
connectors and standard tools like PostgreSQL BETA.
With Cloud Bigtable,
organizations can accelerate time to market for their data-intensive
applications, enable seamless, ________________, reduce operational overhead,
and improve business operations.
A.
availability of SDKs and consoles
B.
cost configurability
C.
future proofing
D.
elastic
scaling with zero downtime
What aspect of Cloud
Datastore allows organizations to worry less about making changes to their
underlying data structure as their application evolves?
A.
The object-oriented
database with containerized applications.
B.
The
schemaless document-oriented database with ACID transactions.
C.
The relational
database with configuration and downtime.
D.
The warehouse database
with a proven production system.
What is an example of
a time-consuming task required to set up and run a database that organizations
can hand off to Google when they choose to use Cloud SQL?
A.
Applying
patches and updates.
B.
Migrating data between
data centers.
C.
Developing apps.
D.
Managing contractors.
How does Cloud Storage
deliver simplicity?
A.
By providing
intelligence from data.
B.
Includes tape
libraries and backup capabilities.
C.
Most reliable service,
according to Gartner.
D.
Single
API and millisecond data access latency across storage classes.
How does Cloud Storage
help organizations get content to their users faster?
A.
Standard connectors
and standard tools that allow for seamless integrations with existing SQL
workflows.
B.
Regional
buckets that enable faster access from storage to compute servers within the
region.
C.
Fully managed
relational database services that use edge caching to provide performance.
D.
Application patches
and updates that optimize data processing when it comes to leveraging user
data.
How does BigQuery Data
Transfer Service work?
A.
Automates
loading data into BigQuery from YouTube, AdWords, and DoubleClick.
B.
Allows organizations
to easily use MapReduce, Pig, Hive, and Spark to process data before storing
it, for example, in Cloud Storage or BigQuery.
C.
Scales up to handle
massive computing loads quickly and efficiently.
D.
Analyzes data to
capture insights to be used for more informed decision making.
What is Cloud Bigtable
NOT good for?
A.
It’s
not good for highly structured databases or transactional databases.
B.
It’s not good for very
large amounts of data.
C.
It’s not good for flat
data and databases with lots of read-write actions.
D.
It’s not good for
analytical data.
Cloud Storage
____________ object (or BLOB) data. Organizations can store an unlimited number
of objects, up to 5 ___________ in size each.
A.
processes and
analyzes, petabytes
B.
transforms and
organizes, zettabytes
C.
stores
and serves, terabytes
D.
ingests and transfers,
gigabytes
“Cloud Datastore
enables you to hand off the responsibility of running a highly scalable
document-oriented database to Google. From 10 users to 100s of millions of
users, you will no longer need to spend time optimizing, configuring the
database, updating it, or monitoring system health.” Which of the following
concerns is addressed by this Cloud Datastore value proposition?
A.
Reliability
B.
Scalability
C.
Performance
D.
Infrastructure costs
Using your
understanding of GCP options/products meant to address storage and database
areas, which statement best aligns with where Cloud Bigtable fits within GCP?
A.
Cloud Bigtable is a fully managed database
service that makes it easy to set up, maintain, manage, and administer
relational MySQL and PostgreSQL databases in the cloud.
B.
Cloud
Bigtable is aligned to the non-relational database requirements and is good for
heavy read and write, events, and analytical data.
C.
Cloud Bigtable is good
for relational database service management at scale that requires high
availability and HTAP.
D.
Cloud Bigtable helps
organizations capture data and rapidly pass massive numbers of messages
securely between other Google Cloud Platform big data tools and other software
applications.
“High availability and
durability via replications is just there; you don’t need to think about it or
manage it. No scheduled downtime for upgrades, resizing or configuration
changes.” Which of the following concerns is addressed by this Cloud Firestore
value proposition?
A.
Infrastructure costs
B.
Performance
C.
Scalability
D.
Reliability
Which of these
statements about Cloud Datastore is FALSE?
A.
Cloud
Datastore is aligned to non-relational database requirements and is good for
heavy read and write, events, and analytical data.
B.
Cloud Datastore is
ideal for rapid and flexible web and mobile development.
C.
Cloud Datastore is a
proven production system, serving organizations for 10 years.
D.
Cloud Datastore is a
fully managed NoSQL document database that scales from zero to global scale
without configuration or downtime.
What type of database
is Cloud SQL?
A.
Non-relational
database
B.
Warehouse database
C.
Object database
D.
Relational
database
Why is Cloud Bigtable
great for IoT and user analytics?
A.
Because
Cloud Bigtable is a high-performance NoSQL database service for large
analytical and operational workloads.
B.
Because Cloud Bigtable
lowers warehousing costs and augments existing warehouses.
C.
Because Cloud Bigtable
scales up to handle massive computing loads quickly and efficiently.
D.
Because Cloud Bigtable
is a fully managed database service that makes it easy to set up, maintain,
manage, and administer relational MySQL and PostgreSQL databases in the cloud.
Which of the following
describes Cloud Firestore’s business value?
A.
Cloud Firestore
provides daily results for queries to show the changing data.
B.
Cloud Firestore
provides multi-document ACID transactions for SQL databases.
C.
Cloud Firestore helps
you schedule downtime for upgrades, resizing, or configuration changes.
D.
Cloud
Firestore takes care of scalability and operations for running document-oriented
databases.
Which statement best
defines where data transfers fit within the GCP?
A.
Data transfer options
reduce risk by providing a better understanding of what is happening to allow
for greater visibility.
B.
Data
transfer options lead to many other GCP products and solutions that fit an
organization’s needs.
C.
Data transfer options
lower warehousing costs and augment existing warehouses.
D.
Data transfer options
run clusters ephemerally; in other words, only when needed.
Cloud Storage is good
for:
A.
Testing data that’s
used to validate data sets.
B.
Training data that’s
used in machine learning.
C.
Tertiary data such as
website traffic, clicks, and returning page visitors.
D.
Binary
data such as images, media serving, and backups.
With Cloud Firestore,
you no longer need to determine the number of nodes or add servers or storage
because:
A.
It’s a fully managed
compute service.
B.
It’s a database
service that allows complete control.
C.
It’s a database
service that uses SQL.
D.
It’s
a fully managed database service.
Which Cloud Storage
class is meant for organizations with the lowest frequency access?
A.
Nearline
B.
Multi-Regional
C.
Coldline
D.
Regional
Cloud Firestore is
good for:
A.
Developing
mobile and web applications and reducing operational burden with an
enterprise-grade database.
B.
Organizations that
need to store binary data such as images, media serving, and backups.
C.
Organizations that are
using relational databases at scale and need to store user metadata.
D.
Training and testing
data that’s used in machine learning to validate data sets.
What is a common use
case for moving data to GCP? Select the 2 correct answers.
A.
Virtual Private Cloud
B.
Data
center migration
C.
Preferred locations
D.
Decommission tape
libraries and infrastructure
What is Cloud SQL?
A.
Cloud SQL helps
organizations capture data and rapidly pass massive amounts of messages
securely between other Google Cloud Platform big data tools and other software
applications.
B.
Compute SQL offers
industry-leading local SSD performance and integrates with the other products
in the Google Cloud Platform suite.
C.
Cloud SQL ingests
event streams from anywhere, at any scale, for simple, reliable, real-time
stream analytics.
D.
Cloud
SQL is a fully managed database service that makes it easy to set up, maintain,
manage, and administer relational MySQL and PostgreSQL databases in the cloud.
Cloud IoT is a set of
fully managed and integrated services that allows organizations to easily and
securely connect, manage, and collect data from devices across the globe at a
large scale. Knowing this, what stage of big data processing does Cloud IoT belong
in?
A.
Analyze
B.
Storage
C.
Process
D.
Ingest
What business value
can BigQuery provide?
Availability, security,
and preferred locations
Customer 360 analysis
and log analysis
Massively parallel
databases and multiple data marts
Machine learning APIs
and Tensorflow
What are some business
challenges that Cloud Dataproc addresses?
A.
Ease
of use and speed
B.
Idle clusters and
scaling inflexibility
C.
Integration and
customization
D.
High PUC cores and
GPUs
Cloud Dataflow is a
tool for developing and executing a wide range of data processing patterns on
very large datasets. Which of these examples aligns with what Cloud Dataflow
can do?
A.
Process queries
written in structured query language (SQL).
B.
Scale without
downtime.
C.
Perform
the transformations in “extract, transform, and load (ETL).”
D.
Develop apps faster
and easier with cloud backend services.
Cloud Dataflow is a
fully managed service for transforming and enriching data in stream (real time)
and batch (historical) modes with equal reliability and expressiveness. Knowing
this, where does Cloud Dataflow fit in the big data processing model?
A.
Analyze
B.
Ingest
C.
Storage
D.
Process
Which of the following
is one of Google’s machine-learning-as-a-service offerings?
A.
Cloud Pub/Sub
B.
Cloud Engine
C.
TensorFlow
D.
Data Warehouse
What is the value that
Cloud Dataflow can provide?
A.
Eliminates the need to
buy, build, and operate computing hardware.
B.
Getting queries
answered rapidly over very large data sets.
C.
Accelerates
development for batch and streaming data processing pipelines.
D.
Allows for fast SQL
queries on structured data.
The Cloud Dataproc
approach allows organizations to use Hadoop/Spark/Hive/Pig when needed. It
takes on average only 90 seconds between the moment resources are requested and
a job can be submitted. What makes this possible?
A.
The absence of
management and maintenance.
B.
The
separation of storage and compute.
C.
The configuration of
jobs and workflows.
D.
The use of queries and
containers.
BigQuery can bring in
other Google products because within the common big data processing model,
BigQuery is found in the ________ phases.
A.
Ingest and Process
B.
Storage
and Analyze
C.
Apps and Devices
D.
Ingest and Storage
Google Cloud’s AI
provides modern machine learning services, with ________ models and a service
to generate your own __________ models.
A.
scalable, batch
B.
pre-trained,
tailored
C.
storage, process
D.
virtual machine,
dataset
What dataset type is vital to machine learning?
A.
Predictive datasets
B.
Market datasets
C.
QA datasets
D.
Training
datasets
Which challenge is
Cloud IoT designed to address?
A.
Multiple data marts
are inefficient: they are complex and costly, and they make data difficult to
use.
B.
Organizations that
want to take advantage of machine learning need to centralize their data with a
managed data store that can consolidate structured and semi-structured data.
C.
Accepting
that most devices can theoretically be connected to a network, building and
managing such networks in a global, secure way—and then getting data out of
them for analysis—is complex and difficult for organizations.
D.
Organizations find it
difficult to stay ahead when they continuously have to accommodate new data
sources and more data without sacrificing efficiency.
What is the value that
Cloud Pub/Sub provides? Select the 2 correct answers.
A.
Ease
of use and implementation
B.
Integration
C.
Customization
D.
Reduces OPEX
Which statement best
describes where Cloud Dataproc falls on the big data processing model and the
role it plays?
A.
Cloud Dataproc allows
organizations to scale data storage and ensures accessibility without
compromising security.
B.
Cloud Dataproc allows
organizations to transform and enrich data in stream and batch modes.
C.
Cloud
Dataproc allows organizations to easily use MapReduce, Pig, Hive, and Spark to
process data before storing it, and it helps organizations interactively
analyze data with Spark and Hive.
D.
Cloud Dataproc allows
organizations to ingest event streams from anywhere, at any scale, for simple,
reliable, real-time stream analytics.
A query is how you
retrieve information from a database, so which of these paths demonstrates the
journey of a query?
A.
Query
> Database > Table with Data
B.
Query > Table with
Data > Database
C.
Table with Data >
Database > Query
D.
Table with Data >
Query > Database
Which of these
statements best describes the kinds of transforms a Cloud Dataflow pipeline can
do?
A.
Cloud Dataflow takes a
query and runs information from the database through it to produce tables of
data organized according to the requirements of the original query.
B.
Cloud
Dataflow reads data in and can apply filtering, grouping, comparing, joining,
or aggregation
C.
Cloud Dataflow relies
on a large database to store and analyze data processing pipelines, performing
transforms resulting in predictive analytics that can be leveraged to optimize
business decisions.
D.
Cloud Dataflow relies
on training data to enable machine learning that can then read multiple streams
of data and perform transforms that produce resulting output data.
For organizations that
want a large-scale machine learning service, select the value ML provides.
A.
Cloud
Machine Learning Engine makes it easy to build sophisticated, large-scale
machine learning models across a broad set of scenarios.
B.
Cloud Video
Intelligence API makes videos searchable and discoverable by extracting
metadata, identifying key nouns, and annotating the content of the video.
C.
Cloud Translation API
provides a simple programmatic interface for translating an arbitrary string
into any supported language.
D.
Cloud Job Discovery
provides a highly intuitive job search that anticipates what job seekers are
looking for and surfaces targeted recommendations that help them discover new
opportunities.
What does Cloud
Dataproc do to help organizations avoid expensive underutilized clusters?
A.
Cloud
Dataproc runs clusters ephemerally; in other words, only when needed.
B.
Cloud Dataproc runs
clusters indefinitely, cutting down on wasted time typically spent on spinning
up resources.
C.
Cloud Dataproc charges
at a per-minute rate for each cluster, reducing costs.
D.
Cloud Dataproc
attaches storage or hard drives to each node of the cluster.
How is BigQuery ideal
for organizations that run a data warehouse?
A.
BigQuery isolates data
for machine learning.
B.
BigQuery connects
globally distributed industrial devices into a single network that can be
managed efficiently.
C.
BigQuery lets data
analysts run data processsing pipelines to do transforms on incoming streaming
data.
D.
BigQuery
improves analytics, lowers warehousing costs, and includes connectivity to
other GCP products.
Which of these
statements best expresses what you can do with Cloud Dataflow?
A.
“I
need access to near real-time reports, even if the data is speculative or
sampled.”
B.
“I need to know what
customers are doing right now, and I need to find out using my existing Hadoop
tools.”
C.
“I need to transfer my
data from my on-premises solutions to the cloud.”
D.
“I wish I could run
queries to organize my batch data.”
An organization’s
analysts use Spark Shell. However, their IT department is concerned about the
increase in usage and how to scale their cluster, which is running in
Standalone mode. How does Cloud Dataproc help?
A.
Cloud Dataproc
consolidates data marts into datasets and provides the ability to simply manage
all datasets.
B.
Cloud Dataproc can act
as a landing zone for log data at a low cost.
C.
Cloud
Dataproc supports Spark and can create clusters that scale for speed and
mitigate any single point of failure.
D.
Cloud Dataproc enables
you to convert audio to text by applying neural network models in an
easy-to-use API.
BigQuery has the
ability to scale seamlessly; what is another benefit when it comes to
infrastructure?
A.
Almost
NoOps, with downtime-free upgrades and maintenance
B.
ZeroOps, with
governance or maintenance required
C.
No queries
D.
Empty space storage
What is the business
value that Cloud Pub/Sub can provide?
A.
Queries, machine
learning, and compute
B.
VMs, network, and
Non-SQL
C.
Availability,
throughput, and latency
D.
Sources, sinks, and
transforms
Machine learning is a
branch of computer science that:
A.
Is
focused on enabling computers to recognize patterns in data—without humans
telling the computer how to recognize the patterns.
B.
Is how you retrieve
information from a database.
C.
Is a service to help
capture data and rapidly pass massive numbers of messages between other big
data tools.
D.
Is a tool for
developing and executing a wide range of data processing patterns on very large
datasets.
Which of these
statements about the Publisher-Subscriber pattern utilized by Cloud Pub/Sub is
TRUE?
A.
Publisher applications
can send messages to a subscriber.
B.
Subscriber
applications can subscribe to a topic to receive the message when the
subscriber is ready.
C.
Publisher applications
can receive messages from a topic.
D.
Subscriber
applications can send messages on a topic directly to publisher applications.
Likened to a
connector, which description best aligns to Cloud Pub/Sub’s role in GCP?
A.
Cloud
Pub/Sub helps capture data and rapidly pass massive numbers of messages
securely between other Google Cloud Platform big data tools and other software
applications.
B.
Cloud Pub/Sub offers a
solution for analyzing big data and can open the door for other Google Cloud
Platform big data tools.
C.
Cloud Pub/Sub allows
organizations to access their data anywhere, anytime as an innovative storage
solution in the cloud, acting as a repository of data collected by other Google
Cloud Platform big data tools.
D.
Cloud Pub/Sub takes
the existing data processing pipeline and processes it alongside an incoming
stream of input data, performs transforms on that data to gain useful or
actionable insights, and produces resulting output data.
How does Cloud IoT
help organizations unlock business insights in real time from data across
globally dispersed devices?
A.
It
connects globally distributed industrial devices into a single network that can
be managed efficiently and serves as a new data source for an organization’s
analytic systems to support improved operational efficiency.
B.
It has a deep
interoperability with business intelligence (BI) tools, allowing it to connect
multiple devices around the globe through the tools themselves.
C.
It is fully managed,
with downtime-free upgrades and maintenance and seamless scaling, and it
provides the benefits of operating on almost NoOps.
D.
It uses the Spark
Machine Learning Libraries (MLlib) to run classification algorithms on very
large datasets, relying on cloud-based machines where Spark can be installed
and customized.
Which of these
benefits correspond to business challenges that are addressed by Cloud IoT?
A.
Cloud
IoT enables growth through a better user experience that can increase usage and
adoption of a product.
B.
Cloud
IoT facilitates machine learning with actionable insights by processing and
analyzing data in real time.
C.
Cloud
IoT provides compute power across the globe at nearline locations.
D.
Cloud
IoT scales with big data workloads so that organizations can collect more data
from more devices.
What business
challenges does Cloud IoT address? Select the 3 correct answers.
A.
Reduces
risk
B.
Massively
parallel databases
C.
Optimizes
cost
D.
Growth
Within the big data
processing model, which description defines where Cloud Pub/Sub falls and the
role it plays?
A.
Cloud Pub/Sub stores
data and ensures accessibility without compromising security.
B.
Cloud Pub/Sub analyzes
data to capture insights to be used for more informed decision making.
C.
Cloud Pub/Sub
processes queries, running them against a database of data to produce tables of
the results.
D.
Cloud
Pub/Sub ingests event streams from anywhere, at any scale, for simple,
reliable, real-time stream analytics.