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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q39-Q44):

NEW QUESTION # 39
Your architecture calls for the centralized collection of all admin activity and VM system logs within your
project.
How should you collect these logs from both VMs and services?

A. Launch a custom syslogd compute instance and configure your GCP project and VMs to forward all
logs to it.
B. Install the Stackdriver Logging agent on a single compute instance and let it collect all audit and access
logs for your environment.
C. Stackdriver automatically collects admin activity logs for most services. The Stackdriver Logging agent
must be installed on each instance to collect system logs.
D. All admin and VM system logs are automatically collected by Stackdriver.

Answer: B

Explanation:
Explanation/Reference:
Reference https://cloud.google.com/logging/docs/agent/

NEW QUESTION # 40
Your company has an application running on App Engine that allows users to upload music files and share them with other people. You want to allow users to upload files directly into Cloud Storage from their browser session. The payload should not be passed through the backend. What should you do?

A. 1. Set a CORS configuration in the target Cloud Storage bucket where the base URL of the App Engine application is an allowed origin.
2. Use the Cloud Storage Signed URL feature to generate a POST URL.
B. 1. Use the Cloud Storage Signed URL feature to generate a POST URL.
2. Use App Engine default credentials to sign requests against Cloud Storage.
C. 1. Assign the Cloud Storage WRITER role to users who upload files.
2. Use App Engine default credentials to sign requests against Cloud Storage.
D. 1. Set a CORS configuration in the target Cloud Storage bucket where the base URL of the App Engine application is an allowed origin.
2. Assign the Cloud Storage WRITER role to users who upload files.

Answer: D

NEW QUESTION # 41
For this question, refer to the Dress4Win case study. Dress4Win is expected to grow to 10 times its size in 1 year with a corresponding growth in data and traffic that mirrors the existing patterns of usage. The CIO has set the target of migrating production infrastructure to the cloud within the next 6 months. How will you configure the solution to scale for this growth without making major application changes and still maximize the ROI?

A. Migrate the web application layer to App Engine, and MySQL to Cloud Datastore, and NAS to Cloud Storage. Deploy RabbitMQ, and deploy Hadoop servers using Deployment Manager.
B. Migrate RabbitMQ to Cloud Pub/Sub, Hadoop to BigQuery, and NAS to Compute Engine with Persistent Disk storage. Deploy Tomcat, and deploy Nginx using Deployment Manager.
C. Implement managed instance groups for Tomcat and Nginx. Migrate MySQL to Cloud SQL, RabbitMQ to Cloud Pub/Sub, Hadoop to Cloud Dataproc, and NAS to Compute Engine with Persistent Disk storage.
D. Implement managed instance groups for the Tomcat and Nginx. Migrate MySQL to Cloud SQL, RabbitMQ to Cloud Pub/Sub, Hadoop to Cloud Dataproc, and NAS to Cloud Storage.

Answer: C

NEW QUESTION # 42
Your organization requires that metrics from all applications be retained for 5 years for future analysis in possible legal proceedings. Which approach should you use?

A. Grant the security team access to the logs in each Project.
B. Configure Stackdriver Monitoring for all Projects with the default retention policies.
C. Configure Stackdriver Monitoring for all Projects, and export to Google Cloud Storage.
D. Configure Stackdriver Monitoring for all Projects, and export to BigQuery.

Answer: C

Explanation:
Overview of storage classes, price, and use cases https://cloud.google.com/storage/docs/storage-classes Why export logs? https://cloud.google.com/logging/docs/export/ StackDriver Quotas and Limits for Monitoring https://cloud.google.com/monitoring/quotas The BigQuery pricing. https://cloud.google.com/bigquery/pricing

NEW QUESTION # 43
You are working at a sports association whose members range in age from 8 to 30. The association collects a large amount of health data, such as sustained injuries. You are storing this data in BigQuery. Current legislation requires you to delete such information upon request of the subject. You want to design a solution that can accommodate such a request. What should you do?

A. Use a unique identifier for each individual. Upon a deletion request, overwrite the column with the unique identifier with a salted SHA256 of its value.
B. Create a BigQuery view over the table that contains all dat
a. Upon a deletion request, exclude the rows that affect the subject's data from this view. Use this view instead of the source table for all analysis tasks.
C. When ingesting new data in BigQuery, run the data through the Data Loss Prevention (DLP) API to identify any personal information. As part of the DLP scan, save the result to Data Catalog. Upon a deletion request, query Data Catalog to find the column with personal information.
D. Use a unique identifier for each individual. Upon a deletion request, delete all rows from BigQuery with this identifier.

Answer: C

Explanation:
Current legislation requires you to delete "SUCH" information upon request of the subject. " So from that point of view the question is not to delete the entire user records but specific data related to personal health data. With DLP you can use InfoTypes and InfoType detectors to specifically scan for those entries and how to act upon them (link https://cloud.google.com/dlp/docs/concepts-infotypes)
https://cloud.google.com/dlp#section-6

NEW QUESTION # 44
......

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