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Google Associate Cloud Engineer certification exam is designed for professionals who want to demonstrate their proficiency in using Google Cloud technologies to deploy, manage, and monitor applications on the cloud. It is a highly respected certification that is recognized in the industry and can help individuals advance their careers in cloud computing.

Earning the Google Associate-Cloud-Engineer Certification demonstrates your ability to manage and deploy GCP solutions effectively. Google Associate Cloud Engineer Exam certification is recognized by employers and demonstrates your expertise in cloud computing. It also helps you stand out from other candidates when applying for cloud computing roles.

Google Associate Cloud Engineer Exam Sample Questions (Q43-Q48):

NEW QUESTION # 43
The storage costs for your application logs have far exceeded the project budget. The logs are currently being retained indefinitely in the Cloud Storage bucket myapp-gcp-ace-logs. You have been asked to remove logs older than 90 days from your Cloud Storage bucket. You want to optimize ongoing Cloud Storage spend.
What should you do?

A. Write a lifecycle management rule in JSON and push it to the bucket with gsutil lifecycle set config-json-file.
B. Write a script that runs gsutil Is -| - gs://myapp-gcp-ace-logs/** to find and remove items older than 90 days. Schedule the script with cron.
C. Write a script that runs gsutil Is -Ir gs://myapp-gcp-ace-logs/** to find and remove items older than 90 days. Repeat this process every morning.
D. Write a lifecycle management rule in XML and push it to the bucket with gsutil lifecycle set config-xml-file.

Answer: A

Explanation:
You write a lifecycle management rule in XML and push it to the bucket with gsutil lifecycle set config-xml-file. is not right.
gsutil lifecycle set enables you to set the lifecycle configuration on one or more buckets based on the configuration file provided. However, XML is not a valid supported type for the configuration file.
Ref: https://cloud.google.com/storage/docs/gsutil/commands/lifecycle
* Write a script that runs gsutil ls -lr gs://myapp-gcp-ace-logs/** to find and remove items older than 90 days. Repeat this process every morning. is not right.
This manual approach is error-prone, time-consuming and expensive. GCP Cloud Storage provides lifecycle management rules that let you achieve this with minimal effort.
* Write a script that runs gsutil ls -l gs://myapp-gcp-ace-logs/** to find and remove items older than 90 days. Schedule the script with cron. is not right.
This manual approach is error-prone, time-consuming and expensive. GCP Cloud Storage provides lifecycle management rules that let you achieve this with minimal effort.
* Write a lifecycle management rule in JSON and push it to the bucket with gsutil lifecycle set
* config-json-file. is the right answer.
You can assign a lifecycle management configuration to a bucket. The configuration contains a set of rules which apply to current and future objects in the bucket. When an object meets the criteria of one of the rules, Cloud Storage automatically performs a specified action on the object. One of the supported actions is to Delete objects. You can set up a lifecycle management to delete objects older than 90 days. gsutil lifecycle set enables you to set the lifecycle configuration on the bucket based on the configuration file. JSON is the only supported type for the configuration file. The config-json-file specified on the command line should be a path to a local file containing the lifecycle configuration JSON document.
Ref: https://cloud.google.com/storage/docs/gsutil/commands/lifecycle
Ref: https://cloud.google.com/storage/docs/lifecycle

NEW QUESTION # 44
You have developed an application that consists of multiple microservices, with each microservice packaged in its own Docker container image. You want to deploy the entire application on Google Kubernetes Engine so that each microservice can be scaled individually. What should you do?

A. Create and deploy a Job per microservice.
B. Create and deploy a Custom Resource Definition per microservice.
C. Create and deploy a Deployment per microservice.
D. Create and deploy a Docker Compose File.

Answer: B

NEW QUESTION # 45
Your organization is a financial company that needs to store audit log files for 3 years. Your organization has hundreds of Google Cloud projects. You need to implement a cost-effective approach for log file retention. What should you do?

A. Write a custom script that uses logging API to copy the logs from Stackdriver logs to BigQuery.
B. Create an export to the sink that saves logs from Cloud Audit to BigQuery.
C. Create an export to the sink that saves logs from Cloud Audit to a Coldline Storage bucket.
D. Export these logs to Cloud Pub/Sub and write a Cloud Dataflow pipeline to store logs to Cloud SQL.

Answer: C

Explanation:
Coldline Storage is the perfect service to store audit logs from all the projects and is very cost- efficient as well. Coldline Storage is a very low-cost, highly durable storage service for storing infrequently accessed data.

NEW QUESTION # 46
You need to grant access for three users so that they can view and edit table data on a Cloud Spanner instance. What should you do?

A. Run gcloud iam roles describe roles/spanner.viewer - -project my-project. Add the users to a new group. Add the group to the role.
B. Run gcloud iam roles describe roles/spanner.databaseUser. Add the users to a new group.
Add the group to the role.
C. Run gcloud iam roles describe roles/spanner.databaseUser. Add the users to the role.
D. Run gcloud iam roles describe roles/spanner.viewer - -project my-project. Add the users to the role.

Answer: C

NEW QUESTION # 47
A company wants to build an application that stores images in a Cloud Storage bucket and wants to generate thumbnails as well as resize the images. They want to use a google managed service that can scale up and scale down to zero automatically with minimal effort. You have been asked to recommend a service. Which GCP service would you suggest?

A. Google App Engine
B. Google Kubernetes Engine
C. Google Compute Engine
D. Cloud Functions

Answer: D

Explanation:
Text Description automatically generated with low confidence

Cloud Functions is Google Cloud's event-driven serverless compute platform. It automatically scales based on the load and requires no additional configuration. You pay only for the resources used.
Ref: https://cloud.google.com/functions
While all other options i.e. Google Compute Engine, Google Kubernetes Engine, Google App Engine support autoscaling, it needs to be configured explicitly based on the load and is not as trivial as the scale up or scale down offered by Google's cloud functions.

NEW QUESTION # 48
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