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The Professional-Cloud-Architect exam consists of multiple-choice and scenario-based questions that test the candidate's ability to design and implement scalable and secure cloud solutions using GCP services. Professional-Cloud-Architect Exam covers a wide range of topics, including GCP infrastructure and services, data storage and processing, networking, security, compliance, and business continuity.

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The Google Professional-Cloud-Architect Exam covers a wide range of topics, including designing and planning a cloud solution architecture, managing and provisioning the cloud infrastructure, optimizing the cloud solution for performance and cost, and ensuring security and compliance. Candidates are required to have a deep understanding of GCP services such as Compute Engine, Kubernetes Engine, Cloud Storage, Cloud SQL, and BigQuery, among others. They must also have experience in designing and implementing solutions that are scalable, reliable, and secure.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q322-Q327):

NEW QUESTION # 322
You are creating a solution to remove backup files older than 90 days from your backup Cloud Storage bucket. You want to optimize ongoing Cloud Storage spend. What should you do?

A. Schedule a cron script using gsutil is -lr gs://backups/** to find and remove items older than 90 days.
B. Schedule a cron script using gsutil ls -l gs://backups/** to find and remove items older than 90 days and schedule it with cron.
C. Write a lifecycle management rule in XML and push it to the bucket with gsutil.
D. Write a lifecycle management rule in JSON and push it to the bucket with gsutil.

Answer: D

Explanation:
gsutil command takes only json as input for lifecycle management. In case of API, both XML and json can be used.
https://cloud.google.com/storage/docs/gsutil/commands/lifecycle
https://cloud.google.com/storage/docs/xml-api/put-bucket-lifecycle
https://cloud.google.com/storage/docs/json_api/v1/buckets/update

NEW QUESTION # 323
Your BigQuery project has several users. For audit purposes, you need to see how many queries each user ran in the last month.

A. In the BigQuery interface, execute a query on the JOBS table to get the required information.
B. Use Cloud Audit Logging to view Cloud Audit Logs, and create a filter on the query operation to get the required information.
C. Use `bq show' to list all jobs. Per job, use `bq Is' to list job information and get the required information.
D. Connect Google Data Studio to BigQuery. Create a dimension for the users and a metric for the amount of queries per user.

Answer: A

Explanation:
https://cloud.google.com/bigquery/docs/access-control

NEW QUESTION # 324
You have developed a non-critical update to your application that is running in a managed instance group, and have created a new instance template with the update that you want to release. To prevent any possible impact to the application, you don't want to update any running instances. You want any new instances that are created by the managed instance group to contain the new update. What should you do?

A. Start a new rolling replace operation.
B. Start a new rolling update. Select the Proactive update mode.
C. Start a new rolling update. Select the Opportunistic update mode.
D. Start a new rolling restart operation.

Answer: C

NEW QUESTION # 325
You need to design a solution for global load balancing based on the URL path being requested. You need to ensure operations reliability and end-to-end in-transit encryption based on Google best practices.
What should you do?

A. Create a global forwarding rule. Configure SSL proxy balancing.
B. Create a cross-region load balancer with URL Maps.
C. Create appropriate instance groups and instances. Configure SSL proxy load balancing.
D. Create an HTTPS load balancer with URL maps.

Answer: D

Explanation:
Reference:
Reference https://cloud.google.com/load-balancing/docs/https/url-map

NEW QUESTION # 326
Your company has successfully migrated to the cloud and wants to analyze their data stream to optimize operations. They do not have any existing code for this analysis, so they are exploring all their options. These options include a mix of batch and stream processing, as they are running some hourly jobs and live-processing some data as it comes in. Which technology should they use for this?

A. Google Compute Engine with Google BigQuery
B. Google Cloud Dataproc
C. Google Container Engine with Bigtable
D. Google Cloud Dataflow

Answer: D

Explanation:
Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness -- no more complex workarounds or compromises needed.
References: https://cloud.google.com/dataflow/
Reference:
Dataflow is for processing both the Batch and Stream.

NEW QUESTION # 327
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