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Google Professional Cloud Developer exam dumps: questions 401 to 480 of 480

Page 5 of the free Google Professional Cloud Developer question bank for the Professional Cloud Developer exam. Questions 401 to 480 are listed below, the first 5 in full with answers and explanations. Back to page 1 for the exam overview and FAQ.

Question bank last updated December 2024

Free Google Professional Cloud Developer practice questions

Questions 401 to 405 of 480

Pick an answer before you open the explanation. Each question also has its own page with a permalink.

Google Professional Cloud Developer Question 401

Select 3Google Cloud Platform

You are developing a Node.js application running on Google Cloud Run that needs to connect to a Cloud SQL database. To ensure secure and efficient connection management, which of the following steps should you take?

  1. A

    Use the Cloud SQL Auth proxy to manage secure authentication to the database.

  2. B

    Set the database credentials as environment variables in your Cloud Run service.

  3. C

    Use connection pooling to reduce the overhead of establishing new database connections.

  4. D

    Allow public IP access to the Cloud SQL instance for easier connectivity.

  5. E

    Configure the Cloud SQL instance to use private IP and connect it to the same VPC as Cloud Run.

Show answer and explanation

Correct answers: A, C, E

Explanation

To securely and efficiently manage connections to Cloud SQL from Cloud Run, you should use the Cloud SQL Auth proxy for secure authentication, implement connection pooling to handle connection scalability, and configure private IP connectivity to ensure the database is not exposed to the public internet. These practices align with Google Cloud's best practices for security and performance.

  • A. Correct.

    Using the Cloud SQL Auth proxy ensures secure and managed authentication to the database. It simplifies access by automatically handling IAM and encryption.

  • B. Incorrect.

    While setting database credentials as environment variables is possible, it is not recommended as it may expose sensitive information without proper management tools like Secret Manager.

  • C. Correct.

    Connection pooling is essential for efficient database connection management, especially in serverless environments like Cloud Run, where instances can scale rapidly.

  • D. Incorrect.

    Allowing public IP access to the Cloud SQL instance may expose it to security risks and is not recommended unless absolutely necessary.

  • E. Correct.

    Configuring the Cloud SQL instance to use private IP and connecting it to the same VPC as Cloud Run ensures secure and efficient network communication.

Google Professional Cloud Developer Question 402

Single answerGoogle Cloud Platform

You are building a serverless web application hosted on Cloud Run that interacts with a Cloud SQL PostgreSQL database. During load testing, you notice connection failures as traffic increases. How can you optimize the application's connection management to avoid these failures?

  1. A

    Use a database connection pooler like Cloud SQL Auth Proxy to manage connections efficiently.

  2. B

    Increase the maximum connections allowed by the Cloud SQL instance.

  3. C

    Configure your application to use a shared Cloud SQL user across all instances.

  4. D

    Deploy a custom proxy service within your VPC network to handle connection pooling.

Show answer and explanation

Correct answer: A

Explanation

Cloud Run scales horizontally by creating multiple instances to handle traffic spikes, which can lead to many concurrent database connections. This can overwhelm the Cloud SQL instance, as it has a limit on the number of connections. Using the Cloud SQL Auth Proxy enables efficient connection pooling, which minimizes the number of active connections while allowing your application to scale seamlessly.

  • A. Correct.

    Using a database connection pooler like Cloud SQL Auth Proxy is a recommended approach for managing connections efficiently in serverless environments such as Cloud Run. It helps reduce the number of concurrent connections to the database by pooling and reusing connections.

  • B. Incorrect.

    While increasing the maximum connections of your Cloud SQL instance might temporarily alleviate the issue, it is not a scalable or cost-efficient solution. Long-term, managing connections effectively through pooling is better.

  • C. Incorrect.

    Using a shared Cloud SQL user does not directly address the problem of connection management or pooling. It only standardizes access credentials across instances.

  • D. Incorrect.

    Deploying a custom proxy service for connection pooling is unnecessary because Google Cloud provides native solutions like the Cloud SQL Auth Proxy, which are more secure and easier to manage.

Google Professional Cloud Developer Question 403

Single answerGoogle Cloud Platform

You are building a serverless application on Google Cloud that processes real-time user activity data. The application needs to write this data to a storage solution for long-term analytics and read the same data frequently for operational dashboards. Which datastore would best suit this use case?

  1. A

    Cloud Bigtable

  2. B

    Cloud SQL

  3. C

    Cloud Firestore

  4. D

    Cloud Storage

Show answer and explanation

Correct answer: A

Explanation

Cloud Bigtable is specifically designed for high-throughput and low-latency workloads, making it an excellent choice for storing and analyzing real-time user activity data. It can handle large-scale datasets efficiently and supports frequent reads and writes required for operational dashboards. Other options, while useful for different types of workloads, are not optimized for this specific use case.

  • A. Correct.

    Cloud Bigtable is an ideal choice for real-time analytics and operational dashboard use cases as it is optimized for high-throughput, low-latency read and write operations. It is well-suited for storing large datasets like user activity logs.

  • B. Incorrect.

    Cloud SQL is a relational database service that is better suited for structured data and transactional workloads rather than real-time analytics or storing vast amounts of activity data.

  • C. Incorrect.

    Cloud Firestore is a NoSQL document database that is more suitable for applications requiring hierarchical or document-based data structures, not necessarily for large-scale real-time analytics.

  • D. Incorrect.

    Cloud Storage is designed for storing unstructured data like files, images, and backups. It is not optimized for real-time analytics or frequent reads/writes of structured data.

Google Professional Cloud Developer Question 404

Select 2Google Cloud Platform

You are developing a serverless application on Google Cloud that processes user-submitted data and stores it in a datastore. The application should write structured data to a database and also log unstructured data for analytics purposes. Which combination of Google Cloud services would be most appropriate for this use case?

  1. A

    Cloud Firestore for structured data and Cloud Storage for unstructured data

  2. B

    Cloud SQL for structured data and Cloud Pub/Sub for unstructured data

  3. C

    Bigtable for structured data and Cloud Logging for unstructured data

  4. D

    Cloud SQL for structured data and Cloud Storage for unstructured data

  5. E

    BigQuery for structured data and Cloud Spanner for unstructured data

Show answer and explanation

Correct answers: A, D

Explanation

In this scenario, the application requires a datastore for structured data and another solution for storing unstructured data like logs. Cloud Firestore and Cloud SQL are both appropriate options for structured data depending on the specific requirements (NoSQL vs relational). Cloud Storage is the best fit for unstructured data storage. Choosing Cloud Pub/Sub, Bigtable, or BigQuery would not align well with the use case as they serve different purposes.

  • A. Correct.

    Correct. Cloud Firestore is a fully managed NoSQL database suited for structured data, and Cloud Storage is ideal for storing unstructured data like logs or files.

  • B. Incorrect.

    Incorrect. While Cloud SQL is suitable for structured data, Cloud Pub/Sub is a messaging service and not a storage solution for unstructured data.

  • C. Incorrect.

    Incorrect. Bigtable is a NoSQL database optimized for large analytical workloads, but it is not an ideal choice for typical structured data. Additionally, Cloud Logging is primarily used for log management, not directly for unstructured data storage.

  • D. Correct.

    Correct. Cloud SQL is a managed relational database suitable for structured data, and Cloud Storage is ideal for storing unstructured data.

  • E. Incorrect.

    Incorrect. BigQuery is optimized for analytical queries on large datasets but not for typical structured data storage. Cloud Spanner is a globally distributed relational database and not intended for unstructured data storage.

Google Professional Cloud Developer Question 405

Single answerGoogle Cloud Platform

You are developing a serverless application on Google Cloud that requires storing user data in a highly scalable and low-latency datastore. The application also needs to execute complex queries involving multiple filters and sorting across large datasets. Which datastore should you use, and why?

  1. A

    Cloud Firestore

  2. B

    Cloud SQL

  3. C

    Cloud Spanner

  4. D

    Cloud Bigtable

Show answer and explanation

Correct answer: A

Explanation

Cloud Firestore is the best choice for this scenario because it is a fully managed, scalable NoSQL database designed to handle low-latency requirements and complex queries such as filtering and sorting. Other options, like Cloud SQL and Cloud Spanner, are more suited for relational workloads, while Cloud Bigtable lacks the querying flexibility required for this use case.

  • A. Correct.

    Cloud Firestore is suitable for scalable, low-latency applications that require complex queries with multiple filters and sorting. It is a NoSQL database designed to handle real-time data synchronization and supports rich querying capabilities.

  • B. Incorrect.

    Cloud SQL is a relational database that is better suited for applications requiring transactional consistency and SQL-based querying. However, it may not handle scalability and low-latency requirements as effectively as Cloud Firestore for NoSQL use cases.

  • C. Incorrect.

    Cloud Spanner offers strong consistency and horizontal scalability, but it is better suited for global, relational database use cases rather than NoSQL applications with complex queries.

  • D. Incorrect.

    Cloud Bigtable is optimized for analytical workloads and single-row key lookups but does not support complex querying with filters and sorting, making it less ideal for the given scenario.

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Google Professional Cloud Developer practice questions 401 to 480 of 480

Every question has a page with the answer and explanation. Numbers are stable, so you can bookmark or share them. The bank is split into 5 pages of up to 100 questions.

  1. 401.You are developing a Node.js application running on Google Cloud Run that needs to connect to a Cloud SQL...
  2. 402.You are building a serverless web application hosted on Cloud Run that interacts with a Cloud SQL PostgreSQL...
  3. 403.You are building a serverless application on Google Cloud that processes real-time user activity data. The...
  4. 404.You are developing a serverless application on Google Cloud that processes user-submitted data and stores it...
  5. 405.You are developing a serverless application on Google Cloud that requires storing user data in a highly...
  6. 406.You are building a microservices-based application on Google Cloud. One of the microservices needs to write...
  7. 407.You are building a serverless data processing application on Google Cloud. The application needs to read...
  8. 408.You are developing a serverless application on Google Cloud that needs to write user profile data to a...
  9. 409.You are developing an application that processes real-time financial transactions and publishes notifications...
  10. 410.You are building a serverless application that processes incoming data asynchronously from multiple IoT...
  11. 411.You are building a cloud-based application that processes real-time transactions. The application must...
  12. 412.You are developing an application that processes real-time data from a Google Cloud Pub/Sub topic. The...
  13. 413.You are developing an application that consumes messages from a Google Cloud Pub/Sub subscription. The...
  14. 414.You are developing a financial application that processes real-time stock price updates. The application must...
  15. 415.You are building a cloud-native application that processes orders from an e-commerce platform. Each order...
  16. 416.You are building an order processing system on Google Cloud where new orders are received through a REST API....
  17. 417.You are building a serverless e-commerce application on Google Cloud. The application requires: (1)...
  18. 418.You are developing a serverless application on Google Cloud that processes user-submitted image files. The...
  19. 419.You are building a serverless application that processes incoming user-uploaded images. When an image is...
  20. 420.You are building a serverless application on Google Cloud to process customer orders. When an order is...
  21. 421.You are developing a serverless application on Google Cloud that needs to access the Google Cloud Translation...
  22. 422.You are developing a serverless application running on Cloud Run that needs to integrate with the Google...
  23. 423.You are developing an application that needs to integrate with the Google Cloud Translation API to translate...
  24. 424.You are tasked with building a serverless application that integrates with the Google Cloud Translation API....
  25. 425.You are developing a serverless application on Google Cloud that integrates with multiple Google Cloud APIs,...
  26. 426.You are developing a serverless application on Google Cloud that needs to integrate with the Google Cloud...
  27. 427.You are developing a serverless application on Google Cloud using Cloud Functions and Cloud Storage. The...
  28. 428.You are developing a serverless application using Cloud Functions and need to integrate it with Cloud Pub/Sub...
  29. 429.You are developing a serverless application that uses multiple Google Cloud services, including Cloud...
  30. 430.You are developing an application that uses Google Cloud APIs for managing Compute Engine instances. When...
  31. 431.You are tasked with deploying a new application on Google Cloud that requires the use of Cloud Storage, Cloud...
  32. 432.You are developing a cloud-native application on Google Cloud and need to use the Cloud Vision API for image...
  33. 433.You are developing a serverless application on Google Cloud that needs to interact with a Cloud Storage...
  34. 434.You are developing a cloud-based application that requires interaction with Google Cloud Storage to store and...
  35. 435.You are developing a serverless application on Google Cloud that needs to interact with Cloud Storage to...
  36. 436.You are building a serverless application on Google Cloud that needs to interact with the Cloud Storage API...
  37. 437.You are developing a cloud-native application on Google Cloud that needs to interact with the Cloud Storage...
  38. 438.You are developing a serverless application on Google Cloud that needs to interact with Google Cloud Storage...
  39. 439.You are developing a serverless application on Google Cloud that processes large amounts of data from IoT...
  40. 440.You are developing a serverless application on Google Cloud that processes high volumes of incoming API...
  41. 441.You are developing a serverless application on Google Cloud that processes incoming data from IoT devices....
  42. 442.You are developing a serverless application on Google Cloud that processes large volumes of data using Cloud...
  43. 443.You are building a Google Cloud application that processes large volumes of incoming data via a REST API. To...
  44. 444.You are developing a serverless application using Google Cloud Functions to process incoming HTTP requests....
  45. 445.You are designing a REST API for a movie streaming service hosted on Google Cloud. The API allows users to...
  46. 446.You are building a RESTful API on Google Cloud to serve customer data. Due to compliance requirements, you...
  47. 447.You are developing a REST API using Google Cloud Functions to serve user data from Firestore. To comply with...
  48. 448.You are developing a RESTful API for your application using Google Cloud's API Gateway. The API fetches user...
  49. 449.You are developing a RESTful API using Google Cloud Functions to serve data from a Firestore database. Your...
  50. 450.You are developing a RESTful API on Google Cloud using Cloud Functions. The API retrieves a large dataset...
  51. 451.You are building a cloud-native application on Google Cloud that retrieves a large dataset from Firestore. To...
  52. 452.You are building a RESTful API on Google Cloud that retrieves a large dataset from Firestore. To improve...
  53. 453.You are building an API using Google Cloud's Cloud Functions to fetch and return a list of items from a Cloud...
  54. 454.You are developing an API in Google Cloud that retrieves a potentially large dataset from a Firestore...
  55. 455.You are building an API using Google Cloud Functions to retrieve a list of user records from a Firestore...
  56. 456.You are developing a RESTful API on Google Cloud that retrieves a list of user data from Firestore. Due to...
  57. 457.You are designing a serverless application that processes high-frequency API requests in Google Cloud. To...
  58. 458.You are developing a web application hosted on Google Cloud that frequently fetches product catalog data from...
  59. 459.You have developed a REST API that serves frequently requested data about product details. To reduce latency...
  60. 460.You are developing a web application on Google Cloud that retrieves data from a Cloud SQL database. The...
  61. 461.You are developing a serverless application on Google Cloud using Cloud Functions to serve frequently...
  62. 462.You are developing a serverless application on Google Cloud that processes data from a third-party API. The...
  63. 463.You are developing a cloud-based application that integrates with a third-party API. The API occasionally...
  64. 464.You have a Google Cloud application that interacts with a third-party API to process user requests. The API...
  65. 465.You are developing a serverless application on Google Cloud that makes HTTP requests to an external API....
  66. 466.You are developing a serverless application on Google Cloud that interacts with a third-party API to fetch...
  67. 467.You are developing a serverless application on Google Cloud that interacts with a third-party API....
  68. 468.You are building a cloud-based application on Google Cloud that interacts with a third-party API. The API has...
  69. 469.You are developing a serverless application on Google Cloud that uses a Cloud Function to process data and...
  70. 470.You are developing a serverless application on Google Cloud that needs to call the Cloud Storage API to...
  71. 471.You are developing a serverless application on Google Cloud that needs to interact with several Google APIs,...
  72. 472.You are developing a serverless application using Cloud Functions on Google Cloud. The function needs to...
  73. 473.You are developing a serverless application on Google Cloud that needs to read data from a private Cloud...
  74. 474.You are developing a serverless application hosted on Google Cloud Functions. The function needs to access a...
  75. 475.You are developing a microservices-based application on Google Cloud that requires monitoring and logging....
  76. 476.You are developing a web application hosted on Google Kubernetes Engine (GKE) and need to monitor its...
  77. 477.You are developing a cloud-native application running on Google Kubernetes Engine (GKE). The application...
  78. 478.You are a developer working on a cloud-native application deployed on Google Kubernetes Engine (GKE). Your...
  79. 479.Your team is developing a microservices-based application running on Google Kubernetes Engine (GKE). You want...
  80. 480.You are developing a microservices-based application deployed on Google Kubernetes Engine (GKE). You need to...