Google Professional Cloud Developer Exam Practice Questions (P. 3)

GPT-4o - Answer

To securely manage your application's logs using the Stackdriver Logging Agent on a Compute Engine instance, it is critical to authorize the instance appropriately. Although granting full access to all Cloud APIs, as mentioned in choice B, may seem broad, it's essential for the initial setup to ensure that the agent functions correctly. However, after this setup phase, you should review and restrict permissions to adhere more closely to the principle of least privilege, reducing the scope to what's necessary for ongoing operations. It's a balancing act between initial functional requirements and long-term security best practices.

GPT-4o - Answer

Option B, creating a separate project for the user, might initially seem effective for isolating workloads; however, it can indeed lead to increased costs and complexity in managing multiple projects. On the other hand, configuring jobs to run as batch jobs (Option A) is a more streamlined approach that aligns well with minimizing costs and administrative effort. Batch jobs in BigQuery are designed to execute when resources are available, preventing interference with higher-priority workloads and optimizing resource usage without requiring active management. Based on the scenario described, batch processing offers a practical solution.

GPT-4o - Answer

For notifying on-call engineers about production service degradation while minimizing development time, Stackdriver Monitoring is indeed the more fitting choice. It includes comprehensive monitoring tools that work out of the box, such as automated alerts based on preset or custom thresholds. This approach simplifies the process significantly, ensuring quick setup for monitoring and alerting without the hassle of excessive programming. Cloud Functions, while flexible, typically require more custom development to monitor specific resources effectively.

GPT-4o - Answer

Upon reviewing the user comments and the options given in the question, it's evident that setting the XMLHttpRequest to asynchronous mode (option B) is the more appropriate approach. Employing asynchronous requests ensures that the UI remains responsive and other parts of the page do not get blocked while waiting for the third-party API to respond. This setup allows you to effectively handle API errors or timeouts by simply omitting the related widget, maintaining the performance and user experience of the rest of the page. The question stated that it was acceptable for some API data not to be displayed, aligning perfectly with this method.

GPT-4o - Answer

Hash tables are your go-to for this task because they offer speedy access to your data. By using the account number as the key in a hash table, you can swiftly accumulate transaction amounts for each account. This method allows for rapid lookups and updates, which is much more efficient than alternatives like linked lists, arrays, or strings that could slow down the process with their less direct access methods. So, a hash table isn't just a choice here; it's a strategic move for efficiency.

GPT-4o - Answer

The correct approach in this scenario, considering efficiency and security, would be using BigQuery's authorization capabilities to set up dataset-level access. The idea is to divide the master dataset into separate department-specific datasets, then employ data pipelines to selectively copy necessary data from the master dataset to each respective departmental dataset. This ensures that each department only accesses its relevant data without interacting directly with the master dataset, which could contain sensitive or irrelevant information. This method, while slightly more resource-intensive in setup, upholds both data integrity and security by restricting access at the dataset level.