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Google Digital Cloud Leadership > Google Cloud Digital Leadership Vocabulary > Flashcards

Google Cloud Digital Leadership Vocabulary Flashcards

1
Q

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?

A

BigQuery

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2
Q

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?

A

Cloud SQL

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3
Q

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?

A

Cloud Storage

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4
Q

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?

A

Cloud Pub/Sub

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5
Q

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?

A

Cloud Profiler

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6
Q

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

A

Cloud Run

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7
Q

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

A

Cloud Billing Reports

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8
Q

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?

A

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

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9
Q

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

A

Google Kubernetes Engine (GKE)

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10
Q

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

A

Cloud Run

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10
Q

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

A

Cloud Dataproc

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11
Q

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

A

Cloud SQL

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12
Q

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

A

Dataflow

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13
Q

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

A

Cloud Storage

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14
Q

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

A

BigQuery

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15
Q

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

A

Cloud CDN

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16
Q

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

A

Cloud Monitoring

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17
Q

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

A

BigQuery

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18
Q

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

A

Vertex AI

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19
Q

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

A

Cloud Functions

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20
Q

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

A

Cloud Pub/Sub

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21
Q

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

A

Cloud Billing Reports

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21
Q

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

A

Cloud Storage

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21
Q

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

A

Cloud Dataproc

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21
Q

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

A

Google Kubernetes Engine (GKE)

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22
Q

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

A

BigQuery

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23
Q

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

A

Cloud SQL

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24
Q

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

A

Dataflow

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25
Q

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

A

Dataflow

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25
Q

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

A

Cloud CDN

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26
Q

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

A

Pub/Sub

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27
Q

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

A

Terraform (via Google Cloud Deployment Manager)

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27
Q

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

A

Vertex AI

28
Q

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

A

Cloud Profiler

29
Q

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

A

Cloud Storage

30
Q

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

A

Cloud Run

30
Q

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

A

Looker

31
Q

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

A

Cloud Dataproc

31
Q

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

A

Google Kubernetes Engine (GKE)

32
Q

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

A

Dataflow

33
Q

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

A

Cloud Storage

33
Q

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

A

Cloud SQL

34
Q

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

A

Cloud Billing Reports

35
Q

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

A

Cloud Run

36
Q

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

A

Cloud Storage

37
Q

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

A

Cloud Monitoring

38
Q

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

A

Cloud Pub/Sub

39
Q

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

A

Google Kubernetes Engine (GKE)

39
Q

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

A

BigQuery

40
Q

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

A

Dataflow

41
Q

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

A

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.

42
Q

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?

A

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

43
Q

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?

A

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.

43
Q

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?

A

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.

44
Q

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?

A

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.

45
Q

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?

A

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.

46
Q

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?

A

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

47
Q

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?

A

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.

48
Q

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

A

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

49
Q

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

A

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

50
Q

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

A

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

50
Q

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

A

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

51
Q

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

A

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

51
Q

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

A

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

52
Q

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

A

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.

52
Q

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

A

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

53
Q

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

A

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

54
Q

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

A

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

55
Q

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

A

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.

56
Q

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

A

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.

57
Q

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

A

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.

58
Q

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

A

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.

59
Q

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

A

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

59
Q

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

A

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.

59
Q

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

A

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.

60
Q

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

A

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.

61
Q

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

A

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.

62
Q

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

A

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

63
Q

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

A

Answer: D) Anthos

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

64
Q

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

A

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.

65
Q

Question 3: What Google Cloud service helps in designing, securing, and analyzing APIs?

A) AutoML
B) App Engine
C) Anthos
D) Apigee

A

Answer: D) Apigee

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

66
Q

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

A

Answer: B) AutoML

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

Google Digital Cloud Leadership (2 decks)

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