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Google Certified Professional - Cloud Developer Sample Questions (Q135-Q140):

NEW QUESTION # 135
You are designing a deployment technique for your new applications on Google Cloud. As part of your deployment planning, you want to use live traffic to gather performance metrics for both new and existing applications. You need to test against the full production load prior to launch. What should you do?

A. Use blue/green deployment
B. Use A/B testing with traffic mirroring during deployment
C. Use canary deployment
D. Use rolling updates deployment

Answer: B

Explanation:
You need to test against the full production load prior to launch" It's impossible with canary.
A/B testing with traffic mirroring during deployment" is the only one possibility we have to test the entire traffic before the roll out.

NEW QUESTION # 136
You work for an environmental agency in a large city. You are developing a new monitoring platform that will capture air quality readings from thousands of locations in the city. You want the air quality reading devices to send and receive their data payload to the newly created RESTful backend systems every minute by using a curl command. The backend systems are running in a single cloud region and are using Premium Tier networking. You need to connect the devices to the backend while minimizing the daily average latency, measured by using Time to First Byte (TTFB). How should you build this service?

A. 1. Run the air quality devices' backends on Compute Engine VMs.
2. Create a weighted round robin routing policy on Cloud DNS.
3. Configure the air quality devices to connect by using this DNS.
B. 1. Run the air quality devices' backends on Compute Engine VMs.
2. Create a round robin routing policy on Cloud DNS for these Compute Engine VMs.
3. Configure the air quality devices to connect by using this DNS.
C. 1 Run the air quality devices' backends in a managed instance group.
2. Create an external Application Load Balancer, and connect it to the managed instance group.
3. Configure a connection between the air quality devices and the Application Load Balancer.
D. 1. Run the air quality devices' backends in a managed instance group.
2. Create an external passthrough Network Load Balancer to connect to the managed instance group.
3. Configure a connection between the air quality devices and the Network Load Balancer.

Answer: C

Explanation:
https://web.dev/articles/optimize-ttfb

NEW QUESTION # 137
You
are deploying a single website on App Engine that needs to be accessible via the URL
http://www.altostrat.com/. What should you do?

A. Verify domain ownership with Webmaster Central. Define an A record pointing to the single global App Engine IP address.
B. Define a mapping in dispatch.yaml to point the domain www.altostrat.com to your App Engine service.
Create a DNS CNAME record to point to the App Engine canonical name ghs.googlehosted.com.
C. Define a mapping in dispatch.yaml to point the domain www.altostrat.com to your App Engine service.
Define an A record pointing to the single global App Engine IP address.
D. Verify domain ownership with Webmaster Central. Create a DNS CNAME record to point to the App Engine canonical name ghs.googlehosted.com.

Answer: D

Explanation:
Reference: https://cloud.google.com/appengine/docs/flexible/dotnet/mapping-custom-domains?hl=fa

NEW QUESTION # 138
You have developed a Python application that you want to containerize and deploy to Cloud Run.
You have developed a Cloud Build pipeline with the following steps:

After triggering the pipeline, you notice in the Cloud Build logs that the final step of the pipeline fails and the container is unable to be deployed to Cloud Run. What is the cause of this issue, and how should you resolve it?

A. The final step uses a Cloud Run instance name that does not match the container name. Update the deployment step so that the Cloud Run instance name matches the container name, and rerun the pipeline.
B. Unit tests in the pipeline are failing. Update the application code so that all unit tests pass, and rerun the pipeline.
C. Cloud Run does not allow unauthenticated invocations. Remove the --allow-unauthenticated parameter to enforce authentication on the application, and rerun the pipeline.
D. The Docker container image has not been pushed to Artifact Registry. Add a step to the pipeline to push the application container image to Artifact Registry, and rerun the pipeline.

Answer: D

Explanation:
The pipeline steps in the image show that the Docker image is built, but there is no step to push the built image to Artifact Registry. Cloud Run requires the container image to be in a registry (such as Artifact Registry or Container Registry) before it can be deployed. Adding a step to push the container image to Artifact Registry after it is built will make the image available for deployment, allowing the final step to deploy the application to Cloud Run successfully.

NEW QUESTION # 139
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.
Which service should HipLocal use to enable access to internal apps?

A. Virtual Private Cloud
B. Cloud Armor
C. Cloud Identity-Aware Proxy
D. Cloud VPN

Answer: C

Explanation:
Explanation/Reference: https://cloud.google.com/iap/docs/cloud-iap-for-on-prem-apps-overview

NEW QUESTION # 140
......

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