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Exam overview

Google Professional Cloud Architect Exam Questions

Vendor

Google

Exam Code

 Professional Cloud Architect

Actual Exam Duration

 120 Minutes

TOTAL QUESTIONS

268

Exam Name

 Google Cloud Architect Professional

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Exam practice

Exam Q&A

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Q1:

Your company has a Google Cloud project that uses BigQuery for data warehousing on a pay-per-use basis. You want to monitor queries in real time to discover the most costly queries and which users spend the most. What should you do?

A: 1. Create a Cloud Logging sink to export BigQuery data access logs to Cloud Storage. 2. Develop a Dataflow pipeline to compute the cost of queries split by users.

B: . Create a Cloud Logging sink to export BigQuery data access logs to BigQuery. 2. Perform a BigQuery query on the generated table to extract the information you need.

C: 1. Activate billing export into BigQuery. 2. Perform a BigQuery query on the billing table to extract the information you need.

D: 1. In the BigQuery dataset that contains all the tables to be queried, add a label for each user that can launch a query. 2. Open the Billing page of the project .3. Select Reports. 4. Select BigQuery as the product and filter by the user you want to check.

Correct Answer: C

Q2:

You are configuring the cloud network architecture for a newly created project m Google Cloud that will host applications in Compote Engine Compute Engine virtual machine instances will be created in two different subnets (sub-a and sub-b) within a single region * Instances in sub-a win have public IP addresses * Instances in sub-b will have only private IP addresses To download updated packages, instances must connect to a public repository outside the boundaries of Google Cloud You need to allow sub-b to access the external repository. What should you do?

A: Enable Private Google Access on sub-b

B: Configure Cloud NAT and select sub b m the NAT mapping section

C: Configure a bastion host instance in sub a to connect to instances in sub-b

D: Enable Identity Aware Proxy for TCP forwarding for instances in sub-b

Correct Answer: B

Q3:

You are working at an institution that processes medical dat a. You are migrating several workloads onto Google Cloud. Company policies require all workloads to run on physically separated hardware, and workloads from different clients must also be separated You created a sole-tenant node group and added a node for each client. You need to deploy the workloads on these dedicated hosts. What should you do?

A: Add the node group name as a network tag when creating Compute Engine instances in order to host each workload on the correct node group.

B: Add the node name as a network tag when creating Compute Engine instances in order to host each workload on the correct node.

C: Use node affinity labels based on the node group name when creating Compute Engine instances in order to host each workload on the correct node group

D: Use node affinity labels based on the node name when creating Compute Engine instances in order to host each workload on the correct node.

Correct Answer: C

Q4:

Your company has an application that is running on multiple instances of Compute Engine. It generates 1 TB per day of logs. For compliance reasons, the logs need to be kept for at least two years. The logs need to be available for active query for 30 days. After that, they just need to be retained for audit purposes. You want to implement a storage solution that is compliant, minimizes costs, and follows Google-recommended practices. What should you do?

A: A1. Install the Cloud Ops agent on all instances. 2. Create a sink to export logs into a partitioned BigQuery table. 3. Set a time_partitioning_expiration of 30 days.

B: 1. Install the Cloud Ops agent on all instances. 2. Create a sink to export logs into a regional Cloud Storage bucket. 3. Create an Object Lifecycle rule to move files into a Coldline Cloud Storage bucket after one month. 4. Configure a retention policy at the bucket level to create a lock.

C: C1. Create a daily cron job, running on all instances, that uploads logs into a partitioned BigQuery table. 2. Set a time_partitioning_expiration of 30 days.

D: D1. Write a daily cron job, running on all instances, that uploads logs into a Cloud Storage bucket. 2. Create a sink to export logs into a regional Cloud Storage bucket. 3. Create an Object Lifecycle rule to move files into a Coldline Cloud Storage bucket after one month.

Correct Answer: B

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