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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Topic 1: Manage application performance monitoring	- Monitor and troubleshoot applications 1. Optimize application performance 2. Configure logging and tracing 3. Analyze metrics and alerts
Topic 2: Integrate applications with Google Cloud services	- Integrate with data and storage services 1. Implement authentication and authorization 2. Use messaging and event-driven services 3. Integrate with Google Cloud APIs
Topic 3: Build and test applications	- Manage development environments 1. Perform application testing 2. Build application artifacts 3. Implement CI/CD pipelines
Topic 4: Design scalable, available, and reliable cloud-native applications	- Design highly performant applications and APIs 1. Design resilient and scalable application architectures 2. Design secure applications 3. Choose storage options for application data
Topic 5: Deploy applications	- Deploy applications to Google Cloud 1. Deploy applications using Cloud Run 2. Manage application rollout strategies 3. Deploy applications to Google Kubernetes Engine

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Google Certified Professional - Cloud Developer Sample Questions (Q177-Q182):

NEW QUESTION # 177
Your application requires service accounts to be authenticated to GCP products via credentials stored on its host Compute Engine virtual machine instances. You want to distribute these credentials to the host instances as securely as possible. What should you do?

A. Commit the credential JSON file into your application's source repository, and have your CI/CD process package it with the software that is deployed to the instance.
B. Use the instance's service account Application Default Credentials to authenticate to the required resources.
C. Use HTTP signed URLs to securely provide access to the required resources.
D. Generate a P12 file from the GCP Console after the instance is deployed, and copy the credentials to the host instance before starting the application.

Answer: B

Explanation:
Reference:
https://cloud.google.com/compute/docs/api/how-tos/authorization

NEW QUESTION # 178
You are in the final stage of migrating an on-premises data center to Google Cloud. You are quickly approaching your deadline, and discover that a web API is running on a server slated for decommissioning. You need to recommend a solution to modernize this API while migrating to Google Cloud. The modernized web API must meet the following requirements:
* Autoscales during high traffic periods at the end of each month
* Written in Python 3.x
* Developers must be able to rapidly deploy new versions in response to frequent code changes You want to minimize cost, effort, and operational overhead of this migration. What should you do?

A. Modernize and deploy the code on App Engine standard environment.
B. Modernize and deploy the code on App Engine flexible environment.
C. Ask the development team to re-write the application to run as a Docker container on Google Kubernetes Engine.
D. Deploy the modernized application to an n1-standard-1 Compute Engine instance.

Answer: A

Explanation:
https://cloud.google.com/appengine/docs/standard

NEW QUESTION # 179
You have an analytics application that runs hundreds of queries on BigQuery every few minutes using BigQuery API. You want to find out how much time these queries take to execute. What should you do?

A. Use Stackdriver Trace to plot API execution time.
B. Use Stackdriver Monitoring to plot query execution times.
C. Use Stackdriver Trace to plot query execution time.
D. Use Stackdriver Monitoring to plot slot usage.

Answer: B

NEW QUESTION # 180
You are developing a web application that contains private images and videos stored in a Cloud Storage bucket. Your users are anonymous and do not have Google Accounts. You want to use your application-specific logic to control access to the images and videos. How should you configure access?

A. Configure Identity-Aware Proxy (IAP) to authenticate users into the web application. Allow users to access the bucket after authenticating through IAP.
B. Generate a signed URL that grants read access to the bucket. Allow users to access the URL after authenticating through your web application.
C. Grant the Storage Object Viewer IAM role to allUsers. Allow users to access the bucket after authenticating through your web application.
D. Cache each web application user's IP address to create a named IP table using Google Cloud Armor.
Create a Google Cloud Armor security policy that allows users to access the backend bucket.

Answer: B

Explanation:
Explanation
https://cloud.google.com/storage/docs/access-control/signed-urls#should-you-use In some scenarios, you might not want to require your users to have a Google account in order to access Cloud Storage, but you still want to control access using your application-specific logic. The typical way to address this use case is to provide a signed URL to a user, which gives the user read, write, or delete access to that resource for a limited time. You specify an expiration time when you create the signed URL. Anyone who knows the URL can access the resource until the expiration time for the URL is reached or the key used to sign the URL is rotated.

NEW QUESTION # 181
Your teammate has asked you to review the code below. Its purpose is to efficiently add a large number of small rows to a BigQuery table.

Which improvement should you suggest your teammate make?

A. Include multiple rows with each request.
B. Perform the inserts in parallel by creating multiple threads.
C. Write each row to a Cloud Storage object in parallel, then load into BigQuery.
D. Write each row to a Cloud Storage object, then load into BigQuery.

Answer: B

Explanation:
Explanation/Reference:

NEW QUESTION # 182
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