AVAIL PERFECT ASSOCIATE-CLOUD-ENGINEER PDF VCE TO PASS ASSOCIATE-CLOUD-ENGINEER ON THE FIRST ATTEMPT

Avail Perfect Associate-Cloud-Engineer PDF VCE to Pass Associate-Cloud-Engineer on the First Attempt

Avail Perfect Associate-Cloud-Engineer PDF VCE to Pass Associate-Cloud-Engineer on the First Attempt

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Google Associate Cloud Engineer Exam Sample Questions (Q261-Q266):

NEW QUESTION # 261
You are managing several Google Cloud Platform (GCP) projects and need access to all logs for the past 60 days. You want to be able to explore and quickly analyze the log contents. You want to follow Google- recommended practices to obtain the combined logs for all projects. What should you do?

  • A. Configure a Cloud Scheduler job to read from Stackdriver and store the logs in BigQuery. Configure the table expiration to 60 days.
  • B. Navigate to Stackdriver Logging and select resource.labels.project_id="*"
  • C. Create a Stackdriver Logging Export with a Sink destination to a BigQuery dataset. Configure the table expiration to 60 days.
  • D. Create a Stackdriver Logging Export with a Sink destination to Cloud Storage. Create a lifecycle rule to delete objects after 60 days.

Answer: C

Explanation:
* Navigate to Stackdriver Logging and select resource.labels.project_id=*. is not right.
Log entries are held in Stackdriver Logging for a limited time known as the retention period which is 30 days (default configuration). After that, the entries are deleted. To keep log entries longer, you need to export them outside of Stackdriver Logging by configuring log sinks.
Ref: https://cloud.google.com/blog/products/gcp/best-practices-for-working-with-google-cloud-audit-logging
* Configure a Cloud Scheduler job to read from Stackdriver and store the logs in BigQuery. Configure the table expiration to 60 days. is not right.
While this works, it makes no sense to use Cloud Scheduler job to read from Stackdriver and store the logs in BigQuery when Google provides a feature (export sinks) that does exactly the same thing and works out of the box.Ref: https://cloud.google.com/logging/docs/export/configure_export_v2
* Create a Stackdriver Logging Export with a Sink destination to Cloud Storage. Create a lifecycle rule to delete objects after 60 days. is not right.
You can export logs by creating one or more sinks that include a logs query and an export destination.
Supported destinations for exported log entries are Cloud Storage, BigQuery, and Pub/Sub.Ref: https://cloud.google.com/logging/docs/export/configure_export_v2 Sinks are limited to exporting log entries from the exact resource in which the sink was created: a Google Cloud project, organization, folder, or billing account. If it makes it easier to exporting from all projects of an organication, you can create an aggregated sink that can export log entries from all the projects, folders, and billing accounts of a Google Cloud organization.Ref: https://cloud.google.com/logging/docs/export/aggregated_sinks Either way, we now have the data in Cloud Storage, but querying logs information from Cloud Storage is harder than Querying information from BigQuery dataset. For this reason, we should prefer Big Query over Cloud Storage.
* Create a Stackdriver Logging Export with a Sink destination to a BigQuery dataset. Configure the table expiration to 60 days. is the right answer.
You can export logs by creating one or more sinks that include a logs query and an export destination.
Supported destinations for exported log entries are Cloud Storage, BigQuery, and Pub/Sub.Ref: https://cloud.google.com/logging/docs/export/configure_export_v2 Sinks are limited to exporting log entries from the exact resource in which the sink was created: a Google Cloud project, organization, folder, or billing account. If it makes it easier to exporting from all projects of an organication, you can create an aggregated sink that can export log entries from all the projects, folders, and billing accounts of a Google Cloud organization.Ref: https://cloud.google.com/logging/docs/export/aggregated_sinks Either way, we now have the data in a BigQuery Dataset. Querying information from a Big Query dataset is easier and quicker than analyzing contents in Cloud Storage bucket. As our requirement is to Quickly analyze the log contents, we should prefer Big Query over Cloud Storage.
Also, You can control storage costs and optimize storage usage by setting the default table expiration for newly created tables in a dataset. If you set the property when the dataset is created, any table created in the dataset is deleted after the expiration period. If you set the property after the dataset is created, only new tables are deleted after the expiration period.For example, if you set the default table expiration to 7 days, older data is automatically deleted after 1 week.Ref: https://cloud.google.com/bigquery/docs/best-practices-storage


NEW QUESTION # 262
You are creating an application that will run on Google Kubernetes Engine. You have identified MongoDB as the most suitable database system for your application and want to deploy a managed MongoDB environment that provides a support SLA. What should you do?

  • A. Download a MongoDB installation package, and run it on a Managed Instance Group
  • B. Create a Cloud Bigtable cluster and use the HBase API
  • C. Deploy MongoDB Alias from the Google Cloud Marketplace
  • D. Download a MongoDB installation package and run it on Compute Engine instances

Answer: C

Explanation:
https://console.cloud.google.com/marketplace/details/gc-launcher-for-mongodb-atlas/mongodb-atlas


NEW QUESTION # 263
You are deploying an application to a Compute Engine VM in a managed instance group. The application must be running at all times, but only a single instance of the VM should run per GCP project. How should you configure the instance group?

  • A. Set autoscaling to On, set the minimum number of instances to 1, and then set the maximum number of instances to 1.
  • B. Set autoscaling to Off, set the minimum number of instances to 1, and then set the maximum number of instances to 1.
  • C. Set autoscaling to Off, set the minimum number of instances to 1, and then set the maximum number of instances to 2.
  • D. Set autoscaling to On, set the minimum number of instances to 1, and then set the maximum number of instances to 2.

Answer: A

Explanation:
If for any reason VM crashes autoscaling set as OFF wont spin another instance in its place which would defeat the purpose of always running VM(tough there will be some disruption) as -- Max-num-Instance is set to 1.
There is no mention of auto-healing is set or not which is disable by default.
B - Incorrect - Does not fit the requirement because AFTER the deletion of the instance, no other instance was created.


NEW QUESTION # 264
You need to configure IAM access audit logging in BigQuery for external auditors. You want to follow Google-recommended practices. What should you do?

  • A. Add the auditor user accounts to the 'logging.viewer' and 'bigQuery.dataViewer' predefined IAM roles.
  • B. Add the auditor user accounts to two new custom IAM roles.
  • C. Add the auditors group to the 'logging.viewer' and 'bigQuery.dataViewer' predefined IAM roles.
  • D. Add the auditors group to two new custom IAM roles.

Answer: A

Explanation:
Reference:
https://cloud.google.com/iam/docs/roles-audit-logging


NEW QUESTION # 265
Your company runs its Linux workloads on Compute Engine instances. Your company will be working with a new operations partner that does not use Google Accounts. You need to grant access to the instances to your operations partner so they can maintain the installed tooling.
What should you do?

  • A. Ask the operations partner to generate SSH key pairs, and add the public keys to the VM instances.
  • B. Tag all the instances with the same network tag.
    Create a firewall rule in the VPC to grant TCP access on port 22 for traffic from the operations partner to instances with the network tag.
  • C. Set up Cloud VPN between your Google Cloud VPC and the internal network of the operations partner.
  • D. Enable Cloud IAP for the Compute Engine instances, and add the operations partner as a Cloud IAP Tunnel User.

Answer: B

Explanation:
https://cloud.google.com/vpc/docs/firewalls


NEW QUESTION # 266
......

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