Google Cloud Digital Leadership Vocabulary

Question 1

An organization needs to run complex queries on large datasets for analytical purposes and generate business intelligence reports. Which Google Cloud service would be most suitable for this use case?

Answer 1

BigQuery

Question 2

A company is developing a web application that requires a relational database to handle user transactions and manage data integrity. Which Google Cloud service should the company use?

Answer 2

Cloud SQL

Question 3

You need to store and manage large volumes of unstructured data such as videos and images. Which Google Cloud product would be most appropriate for this purpose?

Answer 3

Cloud Storage

Question 4

An organization wants to ingest streaming data from IoT devices and process it in real-time. Which Google Cloud service should be used for real-time data ingestion?

Answer 4

Cloud Pub/Sub

Question 5

A company is experiencing slow response times in their application and wants to identify and analyze the root cause of performance issues. Which Google Cloud tool should they use for performance profiling?

Answer 5

Cloud Profiler

Question 6

Your application needs to be scaled automatically based on traffic and load. Which Google Cloud service would best meet this requirement?

Answer 6

Cloud Run

Question 7

An organization wants to track its Google Cloud spending and receive recommendations on how to optimize costs. Which tool should they use?

Answer 7

Cloud Billing Reports

Question 8

A company is considering moving some of its operations to Google Cloud and wants to compare the total cost of ownership with its current on-premises setup. What factors should be included in the comparison?

Answer 8

The cost of on-premises hardware investment, operational overhead, and missed-opportunity costs

Question 9

Which Google Cloud service is best for managing and automating infrastructure deployment using containers?

Answer 9

Google Kubernetes Engine (GKE)

Question 10

For a serverless computing environment that automatically scales based on demand, which Google Cloud service would be suitable?

Answer 10

Cloud Run

Question 10

If you need to process large-scale data using Apache Hadoop or Spark, which Google Cloud service would be appropriate?

Answer 10

Cloud Dataproc

Question 11

Which service provides managed SQL database capabilities and supports MySQL, PostgreSQL, and SQL Server?

Answer 11

Cloud SQL

Question 12

What Google Cloud product is designed to provide real-time analytics and handle streaming data?

Answer 12

Dataflow

Question 13

If you need a scalable object storage service for backup and archival purposes, which Google Cloud service should you use?

Answer 13

Cloud Storage

Question 14

Which service provides a managed environment for analyzing large datasets using SQL queries?

Answer 14

BigQuery

Question 15

An organization needs to build a secure and scalable global content delivery network. Which Google Cloud product would be best for this?

Answer 15

Cloud CDN

Question 16

What tool would you use for monitoring and debugging applications deployed on Google Cloud?

Answer 16

Cloud Monitoring

Question 17

If you need to handle large volumes of semi-structured data and perform complex analytical queries, which service should you use?

Answer 17

BigQuery

Question 18

What Google Cloud product would be best for building and managing machine learning models?

Answer 18

Vertex AI

Question 19

Which service allows you to build and deploy serverless applications without managing infrastructure?

Answer 19

Cloud Functions

Question 20

To handle real-time messaging and data ingestion with low latency, which Google Cloud service would be suitable?

Answer 20

Cloud Pub/Sub

Question 21

Which tool helps in tracking cloud spending and offers recommendations for cost optimization?

Answer 21

Cloud Billing Reports

Question 21

What service would you use for securely storing sensitive data with encryption at rest and in transit?

Answer 21

Cloud Storage

Question 21

Which service provides a managed environment for running Apache Spark and Hadoop jobs?

Answer 21

Cloud Dataproc

Question 21

For deploying and scaling containerized applications, which Google Cloud service provides a managed Kubernetes environment?

Answer 21

Google Kubernetes Engine (GKE)

Question 22

To analyze large datasets with SQL queries in a highly scalable environment, which Google Cloud service is most appropriate?

Answer 22

BigQuery

Question 23

If your application requires a managed relational database for transactions and data management, which Google Cloud service should you use?

Answer 23

Cloud SQL

Question 24

What service provides real-time analytics and batch processing for large datasets?

Answer 24

Dataflow

Question 25

For a data processing solution that involves streaming data pipelines, which Google Cloud service should you choose?

Answer 25

Dataflow

Question 25

Which Google Cloud product allows you to implement a content delivery network with edge caching?

Answer 25

Cloud CDN

Question 26

For real-time data ingestion and analytics from various sources, which Google Cloud product is most suitable?

Answer 26

Pub/Sub

Question 27

Which service allows you to manage infrastructure as code and deploy resources in a repeatable manner?

Answer 27

Terraform (via Google Cloud Deployment Manager)

Question 27

If you want to build and deploy machine learning models using pre-built algorithms and custom models, which service should you use?

Answer 27

Vertex AI

Question 28

Which service provides detailed insights into application performance and helps in identifying bottlenecks?

Answer 28

Cloud Profiler

Question 29

To securely store and manage unstructured data with scalability and high availability, which service would you use?

Answer 29

Cloud Storage

Question 30

Which service allows you to automatically scale applications based on the incoming traffic without managing the underlying infrastructure?

Answer 30

Cloud Run

Question 30

What tool is used for visualizing and analyzing data stored in BigQuery?

Answer 30

Looker

Question 31

Which Google Cloud product is best for analyzing and processing large-scale data with Apache Hadoop or Spark?

Answer 31

Cloud Dataproc

Question 31

What service helps in managing and deploying containerized applications using Kubernetes?

Answer 31

Google Kubernetes Engine (GKE)

Question 32

What service offers real-time data processing and analytics for data streaming applications?

Answer 32

Dataflow

Question 33

Which Google Cloud service provides a highly available and scalable object storage solution?

Answer 33

Cloud Storage

Question 33

What service is used for creating and managing relational databases with support for various SQL engines?

Answer 33

Cloud SQL

Question 34

To manage and track cloud resource usage and expenditures, which tool provides detailed reporting and insights?

Answer 34

Cloud Billing Reports

Question 35

For a serverless platform that automatically scales based on the workload, which Google Cloud service should you choose?

Answer 35

Cloud Run

Question 36

To store and manage large volumes of unstructured data, such as logs and media files, which service is recommended?

Answer 36

Cloud Storage

Question 37

What tool helps in monitoring application performance and diagnosing issues in real-time?

Answer 37

Cloud Monitoring

Question 38

Which service allows you to perform real-time data ingestion and processing with low latency?

Answer 38

Cloud Pub/Sub

Question 39

For deploying and scaling containerized applications with Kubernetes, which service is most appropriate?

Answer 39

Google Kubernetes Engine (GKE)

Question 39

Which Google Cloud service is designed for analyzing large datasets using SQL-like queries in a serverless environment?

Answer 39

BigQuery

Question 40

What service provides real-time analytics and stream processing for high-frequency data ingestion?

Answer 40

Dataflow

Question 41

If an application is experiencing delays in receiving data from users across the globe, which of the following is the most likely cause?

Answer 41

Latency: Latency refers to the delay before a transfer of data begins following an instruction, which can cause delays in data reception and response times.

Question 42

A company’s application is struggling to handle high traffic volumes efficiently, leading to slow performance. Which factor is most likely contributing to this issue?

Answer 42

Bandwidth is the capacity of a network connection to handle data, and insufficient bandwidth can lead to slow performance during high traffic volumes.

Question 43

A business needs a solution to handle its email, CRM, and productivity tools without worrying about the underlying infrastructure or software maintenance. Which cloud service model is most appropriate?

Answer 43

Software as a Service (SaaS) Explanation: SaaS provides ready-to-use applications like email and CRM, handling all infrastructure and software maintenance for the user.

Question 43

A company wants to deploy a web application quickly without managing underlying infrastructure or runtime environments. They are looking for a solution that handles scaling and maintenance automatically. Which cloud service model would best suit their needs?

Answer 43

Platform as a Service (PaaS) Explanation: PaaS provides an environment for developing, running, and managing applications without managing the underlying infrastructure, making it ideal for quick deployment and automatic scaling.

Question 44

An organization wants to host virtual machines and manage the operating system, middleware, and applications while having control over the underlying infrastructure. Which cloud service model is suitable?

Answer 44

Infrastructure as a Service (IaaS) Explanation: IaaS provides virtualized computing resources over the internet, giving control over operating systems, middleware, and applications while managing infrastructure.

Question 45

A company needs to develop a custom application and prefers a solution that provides a managed environment, including runtime, database, and web servers. They want to focus on coding and not on infrastructure management. What cloud service model should they choose?

Answer 45

Platform as a Service (PaaS) Explanation: PaaS provides a managed environment for developing, running, and managing applications, including runtime and database management, allowing developers to focus on coding.

Question 46

A company is looking to manage and configure network resources, such as virtual networks and load balancers, while having full control over the server configurations and operating systems. Which cloud service model fits this requirement?

Answer 46

Infrastructure as a Service (IaaS) Explanation: IaaS allows full control over network resources and server configurations, including virtual networks and load balancers.

Question 47

An organization needs a solution for data analysis and visualization that offers a fully managed service without the need to handle infrastructure, software updates, or scalability issues. Which cloud service model is most appropriate?

Answer 47

Software as a Service (SaaS) Explanation: SaaS provides fully managed services for data analysis and visualization, handling infrastructure, software updates, and scalability, ideal for users who need these capabilities without managing them themselves.

Question 48

An organization needs to store a large amount of unstructured data such as images and videos. Which Google Cloud service should they use? A) Cloud SQL B) BigQuery C) Cloud Storage D) Cloud Spanner

Answer 48

C) Cloud Storage Explanation: Cloud Storage is optimized for storing large amounts of unstructured data such as images and videos.

Question 49

Which Google Cloud service is a fully-managed NoSQL database service that is designed to handle large-scale, high-throughput workloads? A) Cloud SQL B) Bigtable C) Firestore D) Cloud Spanner

Answer 49

B) Bigtable Explanation: Bigtable is a fully-managed NoSQL database designed for large-scale, high-throughput workloads.

Question 50

Which service should be used to manage relational databases with support for MySQL, PostgreSQL, and SQL Server? A) Cloud SQL B) Cloud Storage C) Bigtable D) Dataproc

Answer 50

A) Cloud SQL Explanation: Cloud SQL is a managed relational database service that supports MySQL, PostgreSQL, and SQL Server.

Question 50

A company wants to perform complex queries and analytics on large datasets stored in a data warehouse. Which Google Cloud service should they choose? A) Cloud SQL B) BigQuery C) Cloud Storage D) Firestore

Answer 50

B) BigQuery Explanation: BigQuery is a fully-managed data warehouse that allows for complex queries and analytics on large datasets.

Question 51

What Google Cloud service provides a scalable and fully-managed document database for storing JSON data? A) Cloud SQL B) Firestore C) Bigtable D) Cloud Spanner

Answer 51

Explanation: Firestore is a scalable, fully-managed document database designed for storing and syncing JSON data.

Question 51

Which Google Cloud service would be most appropriate for a globally distributed, highly consistent relational database? A) Cloud SQL B) Cloud Storage C) Cloud Spanner D) BigQuery

Answer 51

C) Cloud Spanner Explanation: Cloud Spanner is a globally distributed, highly consistent relational database service.

Question 52

An organization needs to set up a data lake for their analytics workloads. Which Google Cloud service is best suited for this purpose? A) Cloud Storage B) Cloud SQL C) BigQuery D) Cloud Spanner

Answer 52

A) Cloud Storage Explanation: Cloud Storage is well-suited for setting up a data lake due to its ability to store large volumes of unstructured data.

Question 52

Question 8: For an application that requires real-time updates and synchronization of data across multiple clients, which Google Cloud service should be used? A) Bigtable B) Firestore C) Cloud SQL D) Cloud Storage

Answer 52

B) Firestore Explanation: Firestore provides real-time updates and synchronization, making it ideal for applications that need to sync data across multiple clients.

Question 53

Which Google Cloud service provides managed backups, automated replication, and seamless scaling for relational databases? A) BigQuery B) Cloud Storage C) Cloud SQL D) Firestore

Answer 53

C) Cloud SQL Explanation: Cloud SQL offers managed backups, automated replication, and seamless scaling for relational databases.

Question 54

A company needs to store structured data with transactional consistency and support for ACID transactions. Which Google Cloud service should they choose? A) Cloud Storage B) BigQuery C) Cloud SQL D) Firestore

Answer 54

C) Cloud SQL Explanation: Cloud SQL provides support for structured data with transactional consistency and ACID transactions.

Question 55

A healthcare company needs to store sensitive patient data in compliance with HIPAA regulations. Which Google Cloud service should they use to ensure data is encrypted at rest and in transit? A) Cloud Storage B) Cloud SQL C) BigQuery D) Firestore

Answer 55

A) Cloud Storage Explanation: Cloud Storage provides robust security features including encryption at rest and in transit, making it suitable for storing sensitive data in compliance with regulations like HIPAA.

Question 56

A media company wants to analyze large volumes of streaming data from social media in real-time to understand audience engagement. Which Google Cloud service should they choose for real-time data ingestion and processing? A) Cloud SQL B) Cloud Pub/Sub C) BigQuery D) Cloud Spanner

Answer 56

B) Cloud Pub/Sub Explanation: Cloud Pub/Sub is designed for real-time data ingestion and messaging, making it ideal for processing streaming data from social media.

Question 57

An e-commerce company needs a relational database to handle user transactions and manage inventory with high availability and consistency. Which Google Cloud service is most appropriate? A) Cloud Storage B) Cloud SQL C) BigQuery D) Dataproc

Answer 57

B) Cloud SQL Explanation: Cloud SQL is a managed relational database service that ensures high availability and consistency, making it ideal for handling user transactions and inventory management.

Question 58

A financial services company needs to run complex queries on petabytes of transaction data to generate quarterly reports and insights. Which service would be the best choice for this use case? A) BigQuery B) Cloud SQL C) Cloud Spanner D) Firestore

Answer 58

A) BigQuery Explanation: BigQuery is designed for running complex analytical queries on large datasets, making it suitable for generating reports and insights from vast amounts of transaction data.

Question 59

A retail company needs to track and understand its expenses on Google Cloud and receive recommendations on cost optimizations. Which tool should they use? A) Cloud Billing Reports B) Resource Quotas and Thresholds C) Committed Use Discounts D) Invoices

Answer 59

A) Cloud Billing Reports Explanation: Cloud Billing Reports provide insights into spending and offer recommendations for cost optimization.

Question 59

A logistics company wants to create a data lake to store and analyze large volumes of GPS tracking data from its fleet of vehicles. Which Google Cloud service should they use for storing this unstructured data? A) Cloud SQL B) BigQuery C) Cloud Storage D) Firestore

Answer 59

C) Cloud Storage Explanation: Cloud Storage is optimized for storing large volumes of unstructured data, such as GPS tracking data, making it suitable for creating a data lake.

Question 59

A startup wants to quickly deploy and scale a new web application with minimal management overhead. They need a serverless solution that automatically scales based on demand. Which Google Cloud service should they use? A) Google Kubernetes Engine (GKE) B) Cloud Run C) Cloud Spanner D) Cloud Storage

Answer 59

B) Cloud Run Explanation: Cloud Run is a fully managed serverless platform that automatically scales applications based on demand, making it ideal for quickly deploying and scaling web applications.

Question 60

An analytics company needs a service to run batch processing jobs on large datasets with the flexibility to write custom data processing logic. Which Google Cloud service should they choose? A) Dataproc B) Cloud SQL C) BigQuery D) Firestore

Answer 60

A) Dataproc Explanation: Dataproc is a fully managed service for running Apache Spark and Hadoop clusters to perform batch processing jobs with custom data processing logic.

Question 61

A game development company needs a scalable database solution to store player profiles and game state data with global consistency and high availability. Which Google Cloud service should they use? A) Cloud SQL B) BigQuery C) Cloud Spanner D) Firestore

Answer 61

C) Cloud Spanner Explanation: Cloud Spanner is a globally distributed, highly consistent relational database service, making it suitable for storing player profiles and game state data.

Question 62

A large enterprise is moving its on-premises workloads to the cloud and needs to ensure that the data is encrypted both at rest and in transit. Which Google Cloud service provides this level of security? A) BigQuery B) Cloud SQL C) Cloud Storage D) Cloud Pub/Sub

Answer 62

C) Cloud Storage Explanation: Cloud Storage provides encryption at rest and in transit, ensuring the security of data as it moves to the cloud.

Question 63

Question 1: Which Google Cloud service is used for managing and modernizing applications across on-premises and multiple public clouds? A) App Engine B) AutoML C) Apigee D) Anthos

Answer 63

Answer: D) Anthos Explanation: Anthos is designed for hybrid and multi-cloud management, providing a consistent platform for modernizing applications across various environments.

Question 64

Question 2: Which service provides a serverless platform for developing and deploying web applications without managing infrastructure? A) App Engine B) Apigee C) AutoML D) Anthos

Answer 64

Answer: A) App Engine Explanation: App Engine is a Platform-as-a-Service (PaaS) that allows developers to build and deploy web applications without the need to manage servers or infrastructure.

Question 65

Question 3: What Google Cloud service helps in designing, securing, and analyzing APIs? A) AutoML B) App Engine C) Anthos D) Apigee

Answer 65

Answer: D) Apigee Explanation: Apigee is an API management platform that provides tools for API design, security, analytics, and management.

Question 66

Question 4: Which Google Cloud service is aimed at enabling users to create custom machine learning models with minimal expertise? A) Cloud Run B) AutoML C) BigQuery D) Cloud SQL

Answer 66

Answer: B) AutoML Explanation: AutoML allows users to build and train custom machine learning models without extensive knowledge in data science or machine learning.