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Exam Professional Cloud Developer All Questions

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Exam Professional Cloud Developer topic 1 question 44 discussion

Actual exam question from Google's Professional Cloud Developer
Question #: 44
Topic #: 1
[All Professional Cloud Developer Questions]

Case study -
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.

To start the case study -
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an
All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.

Company Overview -
HipLocal is a community application designed to facilitate communication between people in close proximity. It is used for event planning and organizing sporting events, and for businesses to connect with their local communities. HipLocal launched recently in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon. Its unique style of hyper-local community communication and business outreach is in demand around the world.

Executive Statement -
We are the number one local community app; it's time to take our local community services global. Our venture capital investors want to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10000 miles away from each other.

Solution Concept -
HipLocal wants to expand their existing service, with updated functionality, in new regions to better serve their global customers. They want to hire and train a new team to support these regions in their time zones. They will need to ensure that the application scales smoothly and provides clear uptime data.

Existing Technical Environment -
HipLocal's environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform. The HipLocal team understands their application well, but has limited experience in global scale applications. Their existing technical environment is as follows:
* Existing APIs run on Compute Engine virtual machine instances hosted in GCP.
* State is stored in a single instance MySQL database in GCP.
* Data is exported to an on-premises Teradata/Vertica data warehouse.
* Data analytics is performed in an on-premises Hadoop environment.
* The application has no logging.
* There are basic indicators of uptime; alerts are frequently fired when the APIs are unresponsive.

Business Requirements -
HipLocal's investors want to expand their footprint and support the increase in demand they are seeing. Their requirements are:
* Expand availability of the application to new regions.
* Increase the number of concurrent users that can be supported.
* Ensure a consistent experience for users when they travel to different regions.
* Obtain user activity metrics to better understand how to monetize their product.
* Ensure compliance with regulations in the new regions (for example, GDPR).
* Reduce infrastructure management time and cost.
* Adopt the Google-recommended practices for cloud computing.

Technical Requirements -
* The application and backend must provide usage metrics and monitoring.
* APIs require strong authentication and authorization.
* Logging must be increased, and data should be stored in a cloud analytics platform.
* Move to serverless architecture to facilitate elastic scaling.
* Provide authorized access to internal apps in a secure manner.
HipLocal's APIs are having occasional application failures. They want to collect application information specifically to troubleshoot the issue. What should they do?

  • A. Take frequent snapshots of the virtual machines.
  • B. Install the Cloud Logging agent on the virtual machines.
  • C. Install the Cloud Monitoring agent on the virtual machines.
  • D. Use Cloud Trace to look for performance bottlenecks.
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️

Comments

Chosen Answer:
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dishum
Highly Voted 2 years, 8 months ago
B is the correct answer
upvoted 6 times
dishum
2 years, 6 months ago
No.. C is the right answer
upvoted 1 times
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thewalker
Most Recent 4 months, 1 week ago
Selected Answer: D
The best answer is D. Use Cloud Trace to look for performance bottlenecks. Here's why: Cloud Trace for Troubleshooting: Cloud Trace is a distributed tracing tool that helps you understand the flow of requests through your application. It can pinpoint performance bottlenecks, identify slow calls, and highlight potential areas of failure. This is exactly what HipLocal needs to troubleshoot their occasional application failures.
upvoted 1 times
thewalker
4 months, 1 week ago
Let's break down why the other options are less suitable: A. Take frequent snapshots of the virtual machines: Snapshots are useful for backups and disaster recovery, but they don't provide real-time insights into application performance or errors. B. Install the Cloud Logging agent on the virtual machines: Cloud Logging is essential for collecting logs, but it doesn't provide the same level of detailed tracing information as Cloud Trace. Logs can help identify errors, but they don't show the flow of requests or pinpoint performance issues. C. Install the Cloud Monitoring agent on the virtual machines: Cloud Monitoring is great for collecting metrics and setting up alerts, but it doesn't provide the detailed tracing information needed for troubleshooting application failures.
upvoted 1 times
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santoshchauhan
8 months, 3 weeks ago
Selected Answer: B
B. Install the Cloud Logging agent on the virtual machines. To troubleshoot occasional application failures, HipLocal needs to collect detailed logs that provide insights into what's happening within their applications. Installing the Cloud Logging agent on the virtual machines is the most direct approach to achieving this. The Cloud Logging agent will collect logs from various applications and system components running on the VMs, which can be invaluable for diagnosing issues.
upvoted 1 times
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__rajan__
1 year, 2 months ago
Selected Answer: B
I would go with B.
upvoted 1 times
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Google
1 year, 4 months ago
C is the correct answer
upvoted 1 times
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zanhsieh
1 year, 5 months ago
Selected Answer: B
B. A: No. This is for VM boot failed or other not related to API. The question didn't mention VM failed, nor the scenario. B: Yes. C: No. Monitoring agent is for metrics collection, such as memory. Not related to API. D: No. If the question stated something like the API works perfectly but slow, then this would be valid.
upvoted 1 times
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telp
1 year, 10 months ago
Selected Answer: B
They don't have logging so need to add logging agent so we can have logs to study. Tracr is for latency issue and it's not the issue here.
upvoted 1 times
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tomato123
2 years, 3 months ago
Selected Answer: D
D is correct
upvoted 1 times
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akshaychavan7
2 years, 3 months ago
I might be wrong here, but Cloud Trace is also kind of suitable for this use case, isn't it? Reference - https://cloud.google.com/trace Fast, automatic issue detection Trace continuously gathers and analyzes trace data from your project to automatically identify recent changes to your application's performance. These latency distributions, available through the Analysis Reports feature, can be compared over time or versions, and Cloud Trace will automatically alert you if it detects a significant shift in your app's latency profile.
upvoted 1 times
akshaychavan7
2 years, 3 months ago
I will still go for option B here, as Trace is majorly used for finding out performance bottlenecks which is not specified in the problem statement.
upvoted 1 times
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GCPCloudArchitectUser
2 years, 9 months ago
Selected Answer: B
Yep they don’t have any logging so it should be B
upvoted 1 times
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gfr892
2 years, 10 months ago
B is correct too.
upvoted 2 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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