Associate-Cloud-Engineer Exam Dumps - Google Cloud Certified - Associate Cloud Engineer

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Question # 41

You recently discovered an issue with your rolling update in Google Kubernetes Engine (GKE). You now need to roll back a rolling update. What should you do?

Delete the deployment.

Use the kubectl rollout undo command.

Manually scale down the new Pods and scale up the old Pods.

Use the kubectl rollout restart command to revert the deployment.

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Question # 42

Your company has a Google Cloud Platform project that uses BigQuery for data warehousing. Your data science team changes frequently and has few members. You need to allow members of this team to perform queries. You want to follow Google-recommended practices. What should you do?

1. Create an IAM entry for each data scientist's user account.2. Assign the BigQuery jobUser role to the group.

1. Create an IAM entry for each data scientist's user account.2. Assign the BigQuery dataViewer user role to the group.

1. Create a dedicated Google group in Cloud Identity.2. Add each data scientist's user account to the group.3. Assign the BigQuery jobUser role to the group.

1. Create a dedicated Google group in Cloud Identity.2. Add each data scientist's user account to the group.3. Assign the BigQuery dataViewer user role to the group.

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Question # 43

You have production and test workloads that you want to deploy on Compute Engine. Production VMs need to be in a different subnet than the test VMs. All the VMs must be able to reach each other over internal IP without creating additional routes. You need to set up VPC and the 2 subnets. Which configuration meets these requirements?

Create a single custom VPC with 2 subnets. Create each subnet in a different region and with a different CIDR range.

Create a single custom VPC with 2 subnets. Create each subnet in the same region and with the same CIDR range.

Create 2 custom VPCs, each with a single subnet. Create each subnet is a different region and with a different CIDR range.

Create 2 custom VPCs, each with a single subnet. Create each subnet in the same region and with the same CIDR range.

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Question # 44

You deployed a new application inside your Google Kubernetes Engine cluster using the YAML file specified below.

You check the status of the deployed pods and notice that one of them is still in PENDING status:

You want to find out why the pod is stuck in pending status. What should you do?

Review details of the myapp-service Service object and check for error messages.

Review details of the myapp-deployment Deployment object and check for error messages.

Review details of myapp-deployment-58ddbbb995-lp86m Pod and check for warning messages.

View logs of the container in myapp-deployment-58ddbbb995-lp86m pod and check for warning messages.

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Question # 45

A colleague handed over a Google Cloud Platform project for you to maintain. As part of a security checkup, you want to review who has been granted the Project Owner role. What should you do?

In the console, validate which SSH keys have been stored as project-wide keys.

Navigate to Identity-Aware Proxy and check the permissions for these resources.

Enable Audit Logs on the IAM & admin page for all resources, and validate the results.

Use the command gcloud projects getâ€“iamâ€“policy to view the current role assignments.

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Question # 46

Your company uses BigQuery to store and analyze data. Upon submitting your query in BigQuery, the query fails with a quotaExceeded error. You need to diagnose the issue causing the error. What should you do?

Choose 2 answers

Search errors in Cloud Audit Logs to analyze the issue.

Configure Cloud Trace to analyze the issue.

View errors in Cloud Monitoring to analyze the issue.

Use the information schema views to analyze the underlying issue.

Use BigQuery Bl Engine to analyzeÂ theÂ issue.

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Answer:

Explanation:

When encountering a quotaExceeded error in BigQuery, you should follow these steps to diagnose and mitigate the issue:

Understand the Error:

The error message indicates that a quota was exceeded (either a short-term rate limit or a longer-term limit).

The response payload contains information about which quota was reached.

Quotas can fall into two categories:

rateLimitExceeded: Short-term limits. Retry the operation after a few seconds using exponential backoff.

quotaExceeded: Longer-term limits. Wait 10 minutes or longer before retrying the operation.

Search Errors in Cloud Audit LogsÂ (Option A):

Cloud Audit Logs provide detailed information about API requests and responses.

By searching the logs, you can identify the specific API call that triggered the quotaExceeded error.

This helps you understand which resource or operation exceeded the quota.

View Errors in Cloud MonitoringÂ (Option C):

Cloud Monitoring (formerly known as Stackdriver) provides insights into your Google Cloud resources.

Check the monitoring dashboard for any alerts related to BigQuery quotas.

You can set up custom monitoring rules to track specific quotas and receive notifications.

Other Options:

B. Configure Cloud Trace: Cloud Trace is used for performance analysis and latency tracking. Itâ€™s not directly related to quota issues.

D. Use Information Schema Views: Information schema views provide metadata about your datasets and tables but wonâ€™t help diagnose quota errors.

E. Use BigQuery Bl Engine: There is no such tool called â€œBigQuery Bl Engine.â€ This option is invalid.

Remember that some quotas replenish incrementally over a 24-hour period, so you donâ€™t always need to wait a full 24 hours after reaching the limit.Â Ifyou consistently hit longer-term quotas, consider workload optimization or requesting a quota increase

Question # 47

You have an application that runs on Compute Engine VM instances in a custom Virtual Private Cloud (VPC). Your company's security policies only allow the use to internal IP addresses on VM instances and do not let VM instances connect to the internet. You need to ensure that the application can access a file hosted in a Cloud Storage bucket within your project. What should you do?

Enable Private Service Access on the Cloud Storage Bucket.

Add slorage.googleapis.com to the list of restricted services in a VPC Service Controls perimeter and add your project to the list to protected projects.

Enable Private Google Access on the subnet within the custom VPC.

Deploy a Cloud NAT instance and route the traffic to the dedicated IP address of the Cloud Storage bucket.

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Question # 48

You deployed an LDAP server on Compute Engine that is reachable via TLS through port 636 using UDP. You want to make sure it is reachable by clients over that port. What should you do?

Add the network tag allow-udp-636 to the VM instance running the LDAP server.

Create a route called allow-udp-636 and set the next hop to be the VM instance running the LDAP server.

Add a network tag of your choice to the instance. Create a firewall rule to allow ingress on UDP port 636 for that network tag.

Add a network tag of your choice to the instance running the LDAP server. Create a firewall rule to allow egress on UDP port 636 for that network tag.

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