Google Cloud Platform Business Professional Accreditation Answers 2021 (💯Correct)

Hello Technocrats, Today we are going to share Google Cloud Platform Business Professional Accreditation Certification Exam Answers launched by Google. This certification course is totally free of cost✅✅✅ for you and available on Google Marketing platform.

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Here, you will find Cloud Platform Business Professional Accreditation Certification Quiz Answers in Bold Color which are given below.

These answers are updated recently and are 100% correct✅ answers of all modules and final exam answers of Google Cloud Platform Business Professional Accreditation Certification Exam Answers Certification Course. And After completion of this course, you will free verified certificate from Google.

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Q.1 – 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 platform-centric solution

(C) The serverless logic solution

(D) In the middle (cluster)

Q.2 – What is a software container?

(A) A container is a fully managed database service.

(B) A container imitates a computer.

(C) A container answers queries of very large datasets.

(D) A container makes it easier for teams to package, manage, and ship their code.

Q.3 – What is Kubernetes Engine?

(A) Kubernetes Engine is a managed environment for deploying containerized apps.

(B) Kubernetes Engine is a solution meant to help organizations achieve zero ops.

(C) Kubernetes Engine provides practically unlimited computing power using virtual machines (VMs) in the cloud.

(D) Kubernetes Engine is built on the closed-source Kubernetes system, making it easy to orchestrate container clusters or groups of containers.

Q.4 – 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 deploy and maintain a fleet of VMs through a series of containers.

(C) 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.

(D) 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.

Q.5 – Which of the following best defines Compute Engine?

(A) Compute Engine is a type of software-as-a-service (SaaS).

(B) Compute Engine provides innovative storage solutions using an open source container-orchestration system.

(C) Compute Engine is a computing platform provided as a service, called a “platform-as-a-service” (PaaS).

(D) Compute Engine provides practically unlimited computing power using virtual machines (VMs) in the cloud.

Q.6 – Compute Engine is ideal for organizations that:

(A) Need to connect and extend cloud services.

(B) Need a fully managed database service.

(C) Don’t want to touch a server or infrastructure.

(D) Need complete control over the virtual-machine infrastructure.

Q.7 – 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? Select the 3 correct answers.

(A) Build their own infrastructure.

(B) Control over the virtual-machine infrastructure.

(C) Grow the app as their computing needs increase.

(D) Make sure it’s available night and day.

Q.8 – Which of the following is a benefit provided by Cloud Functions?

(A) User authentication

(B) Machine learning

(C) Serverless economics

(D) Relational database

Q.9 – As a computing platform provided as a service, how does App Engine provide value?

(A) 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.

(B) App Engine allows organizations to manage a server or runtime environment.

(C) 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.

(D) App Engine deploys and maintains a fleet of VMs that enable organizations to create containerized workloads.

Q.10 – Compared to Compute Engine and App Engine, what type of solution is Kubernetes Engine?

(A) PaaS

(B) IaaS

(C) Hybrid

(D) Serverless Logic

Q.11 – What business value can Compute Engine provide?

(A) Compute Engine makes it easy to create and configure high-performance VMs that will quickly and easily scale to any size workload.

(B) Compute Engine provides better kernel-level control and encryption.

(C) Compute Engine stores and serves object (or BLOB) data.

(D) Compute Engine automates with event-driven functions that respond to cloud events.

Q.12 – What are some challenges that Firebase addresses? Select the 2 correct answers.

(A) More rapid application development

(B) Content delivery network

(C) Monitor app stability and performance

(D) Worldwide autoscaling and load balancing

Q.13 – 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) Cloud Interconnect

(B) Cloud CDN

(C) Virtual Private Cloud

(D) Cloud DNS

Q.14 – What business value can Kubernetes Engine provide?

(A) Maximize resource utilization.

(B) Scaling without downtime.

(C) Improve application reliability through integrated health checking.

(D) Seamlessly migrate code from development to production.

Q.15 – What is the definition of a “network” in relation to GCP?

(A) A “network” is an SDK available across most popular mobile platforms.

(B) A “network” is a container deployed regionally via the cloud.

(C) A “network” is a series of instances deployed at the global network level.

(D) A “network” is an isolated, global resource holding configuration.

Q.16 – What service do organizations receive with App Engine that meets key developer needs?

(A) Portability achieved by using Docker and Kubernetes

(B) User authentication, versioning, and robust security tools like Cloud Security Scanner

(C) TensorFlow for machine learning models and algorithms

(D) Messaging service to pass data from gathering and processing systems

Q.17 – Which statement best describes where Google Cloud networking fits within GCP?

(A) When every millisecond of latency counts, Google Cloud networking ensures that content is delivered with high throughput.

(B) Google Cloud networking only operates outside of GCP.

(C) Organizations benefit from Google’s superb networking.

(D) For the past 15 years, GCP has been building out a fast, powerful, high quality cloud infrastructure.

Q.18 – Which of these key terms indicate a business-related challenge that App Engine addresses?

(A) control of virtual machines

(B) time to market

(C) patching zero-day exploits

(D) testing datasets for machine learning

Q.19 – How does Cloud Functions connect and extend cloud services?

(A) It adds files to a storage system.

(B) It provides a layer of logic so that organizations can write code to access other services.

(C) It patches operating systems.

(D) It removes unnecessary data from a container.

Q.20 – Organizations can build apps that run on Kubernetes Engine that: (Select the 2 correct answers)

(A) Will scale up to handle massive computing loads quickly and efficiently.

(B) Are highly secure and reliable and backed by Google’s service level agreement.

(C) Can connect to and extend cloud services.

(D) Have high availability without a complex architecture.

Q.21 – Firebase helps mobile application development teams:

(A) Transfer data from on-premises to the cloud.

(B) Route packets across the globe and store data closest to the user.

(C) Eliminate the need to buy, build, and operate computing hardware.

(D) Develop faster and easier with cloud backend services.

Q.22 – 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) VMs (virtual machines), App Engine

(B) containers, Docker

(C) data kits, the interface

(D) SDKs (software development kits), the console

Q.23 – How does Compute Engine improve quality and time to market?

(A) Google can capture up to a petabyte of data on one Transfer Appliance without impacting the outbound network.

(B) Google-grade data centers give you scale and security that would be very expensive to achieve on-premises.

(C) 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.

(D) Google’s global private network is superior in performance to other clouds that route your traffic over the internet.

Q.24 – 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 Spanner

(B) Cloud Engine

(C) Cloud Storage

(D) Cloud SQL

Q.25 – Which product included in Google Cloud networking serves content to end users with high availability and high performance?

(A) Cloud DNS

(B) Cloud Interconnect

(C) Cloud CDN

(D) Virtual Private Cloud

Q.26 – 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) “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.”

(C) “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.”

(D) “I now have practically unlimited computing power by using virtual machines (VMs) through Cloud Functions.”

Q.27 – How does Compute Engine provide the same computing power that Google uses for its infrastructure?

(A) By improving quality and time to market.

(B) By reducing costs.

(C) By using virtual machines (VMs) in the cloud.

(D) By focusing on writing code and not touching a server, cluster, or infrastructure.

Q.28 – What challenges are addressed by Google Cloud networking?

(A) Monitor app stability and performance

(B) More rapid application development

(C) Content delivery network

(D) Worldwide autoscaling and load balancing

Q.29 – Which of these is an example of a challenge addressed by Cloud Functions?

(A) Development agility

(B) Insufficient storage

(C) Big data complexity

(D) App infrastructure

Q.30 – What business value can Firebase provide?

(A) developer productivity

(B) ease of use

(C) saving time and cost

(D) SDKs and consoles available

GCP Storage And Databases Assessment Questions And Answers

Q.1 – What is Cloud Bigtable NOT good for?

(A) It’s not good for very large amounts of data.

(B) It’s not good for flat data and databases with lots of read-write actions.

(C) It’s not good for highly structured databases or transactional databases.

(D) It’s not good for analytical data.

Q.2 – Which Cloud Storage class is meant for organizations with the lowest frequency access?

(A) Nearline

(B) Regional

(C) Coldline

(D) Multi-Regional

Q.3 – 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 takes care of scalability and operations for running document-oriented databases.

(C) Cloud Firestore provides multi-document ACID transactions for SQL databases.

(D) Cloud Firestore helps you schedule downtime for upgrades, resizing, or configuration changes.

Q.4 – Cloud Storage ____________ object (or BLOB) data. Organizations can store an unlimited number of objects, up to 5 ___________ in size each.

(A) stores and serves, terabytes

(B) ingests and transfers, gigabytes

(C) transforms and organizes, zettabytes

(D) processes and analyzes, petabytes

Q.5 – Cloud Firestore is:

(A) An enterprise-grade database service built for the cloud specifically to combine the benefits of relational database structure with relational horizontal scale.

(B) A tool for developing and executing a wide range of data processing patterns on very large datasets.

(C) A flexible, scalable NoSQL cloud database to store and sync data for client- and server-side development.

(D) An industry-leading local SDD that integrates with the other products in the Google Cloud Platform suite.

Q.6 – How does Cloud SQL address the challenge of compatibility?

(A) If an organization’s app works with MySQL or PostgreSQL, it will work with Cloud SQL.

(B) Cloud SQL builds on performance innovations in Compute Engine and persistent disk.

(C) 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.

(D) It’s easy to control with less infrastructure for you to manage and operate.

Q.7 – “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) Reliability

(C) Scalability

(D) Performance

Q.8 – With Cloud Bigtable, organizations can accelerate time to market for their data-intensive applications, enable seamless, ________________, reduce operational overhead, and improve business operations.

(A) cost configurability

(B) availability of SDKs and consoles

(C) elastic scaling with zero downtime

(D) future proofing

Q.9 – 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 helps organizations capture data and rapidly pass massive numbers of messages securely between other Google Cloud Platform big data tools and other software applications.

(C) Cloud Bigtable is good for relational database service management at scale that requires high availability and HTAP.

(D) Cloud Bigtable is aligned to the non-relational database requirements and is good for heavy read and write, events, and analytical data.

Q.10 – What is Cloud SQL?

(A) Compute SQL offers industry-leading local SSD performance and integrates with the other products in the Google Cloud Platform suite.

(B) 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.

(C) 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.

(D) Cloud SQL ingests event streams from anywhere, at any scale, for simple, reliable, real-time stream analytics.

Q.11 – Why is Cloud Bigtable great for IoT and user analytics?

(A) Because Cloud Bigtable lowers warehousing costs and augments existing warehouses.

(B) Because Cloud Bigtable scales up to handle massive computing loads quickly and efficiently.

(C) 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.

(D) Because Cloud Bigtable is a high-performance NoSQL database service for large analytical and operational workloads.

Q.12 – “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) Infrastructure costs

(B) Scalability

(C) Reliability

(D) Performance

Q.13 – Cloud Firestore is good for:

(A) Organizations that need to store binary data such as images, media serving, and backups.

(B) Training and testing data that’s used in machine learning to validate data sets.

(C) Organizations that are using relational databases at scale and need to store user metadata.

(D) Developing mobile and web applications and reducing operational burden with an enterprise-grade database.

Q.14 – What business challenges does Cloud Bigtable address? Select the 2 correct answers.

(A) Time to market for data-intensive applications

(B) Access from storage to compute servers within the region

(C) Scaling without downtime

(D) Fully managed relational database

Q.15 – 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 database service.

(B) It’s a database service that uses SQL.

(C) It’s a database service that allows complete control.

(D) It’s a fully managed compute service.

Q.16 – 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) Fully managed relational database services that use edge caching to provide performance.

(C) Regional buckets that enable faster access from storage to compute servers within the region.

(D) Application patches and updates that optimize data processing when it comes to leveraging user data.

Q.17 – How does Cloud Storage deliver simplicity?

(A) By providing intelligence from data.

(B) Includes tape libraries and backup capabilities.

(C) Single API and millisecond data access latency across storage classes.

(D) Most reliable service, according to Gartner.

Q.18 – Cloud Storage is good for:

(A) Training data that’s used in machine learning.

(B) Tertiary data such as website traffic, clicks, and returning page visitors.

(C) Binary data such as images, media serving, and backups.

(D) Testing data that’s used to validate data sets.

Q.19 – Which statement best aligns with the role Cloud Spanner plays in GCP?

(A) Cloud Spanner is good for binary data such as images, media serving, and backups.

(B) Cloud Spanner is good for relational database management systems at scale that require high availability and HTAP.

(C) Cloud Spanner is good for configuring replications and applying updates.

(D) Cloud Spanner is good for object database management at scale that requires the capacity to process millions of objects in near real time.

Q.20 – Considering where it fits in the GCP, Cloud Datastore is good for:

(A) Relational database management at scale that requires high availability and HTAP.

(B) Flat data and databases with lots of read-write actions.

(C) Highly structured databases or transactional databases.

(D) Organizations with non-relational data that want to reduce their operations burden with an enterprise-grade database.

Q.21 – 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) Provides a layer of logic that organizations can write code in order to access other services.

(D) Reduces network latency, offloads some work from the origin server, and reduces serving costs.

Q.22 – 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 a proven production system, serving organizations for 10 years.

(C) Cloud Datastore is a fully managed NoSQL document database that scales from zero to global scale without configuration or downtime.

(D) Cloud Datastore is ideal for rapid and flexible web and mobile development.

Q.23 – 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

Q.24 – What are some common challenges that can be addressed by data transfer options?

(A) Offline transfers

(B) Topline transfers

(C) Manual transfers

(D) Hardline transfers

Q.25 – 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 run clusters ephemerally; in other words, only when needed.

(C) Data transfer options lead to many other GCP products and solutions that fit an organization’s needs.

(D) Data transfer options lower warehousing costs and augment existing warehouses.

Q.26 – Organizations considering Cloud Spanner often find ACID transactions valuable. What are ACID transactions?

(A) Automatic, Constant Infrastructure, Decentralized

(B) Autonomous, Centralized, Independent, Dependent

(C) Analog, Chronological, Intelligent, Database

(D) Atomic, Consistent, Isolated, Durable

Q.27 – 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) Migrating data between data centers.

(B) Managing contractors.

(C) Developing apps.

(D) Applying patches and updates.

Q.28 – How does BigQuery Data Transfer Service work?

(A) Analyzes data to capture insights to be used for more informed decision making.

(B) Scales up to handle massive computing loads quickly and efficiently.

(C) Allows organizations to easily use MapReduce, Pig, Hive, and Spark to process data before storing it, for example, in Cloud Storage or BigQuery.

(D) Automates loading data into BigQuery from YouTube, AdWords, and DoubleClick.

Q.29 – Cloud Spanner is:

(A) A tool for developing and executing a wide range of data processing patterns on very large datasets.

(B) A fully managed database service that makes it easy to set up, maintain, manage, and administer relational MySQL and PostgreSQL databases in the cloud.

(C) 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.

(D) A managed environment for deploying containerized apps.

Q.30 – “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) Performance

(B) Infrastructure costs

(C) Reliability

(D) Scalability

Q.31 – What type of database is Cloud SQL?

(A) Relational database

(B) Non-relational database

(C) Object database

(D) Warehouse database

Q.32 – 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 uses synchronous replication within and across regions to achieve greater availability.

(B) Cloud Spanner stores and serves an unlimited number of objects and up to 5 terabytes of object data for each.

(C) Cloud Spanner captures up to a petabyte of data on one Transfer Appliance without impacting the outbound network.

(D) Cloud Spanner automates loading data into BigQuery from YouTube, AdWords, and DoubleClick.

Q.33 – What is a common use case for moving data to GCP? Select the 2 correct answers.

(A) Data center migration

(B) Decommission tape libraries and infrastructure

(C) Virtual Private Cloud

(D) Preferred locations

Q.34 – What is a data transfer option offered by Google to help move data?

(A) Cloud SQL Transfer Service

(B) Hardline Transfer

(C) Cloud Engine Transfer Service

(D) BigQuery Data Transfer Service

Q.35 – What aspect of Cloud Datastore allows organizations to worry less about making changes to their underlying data structure as their application evolves?

(A) The warehouse database with a proven production system.

(B) The schemaless document-oriented database with ACID transactions.

(C) The object-oriented database with containerized applications.

(D) The relational database with configuration and downtime.

Conclusion

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