Associate-Cloud-Engineer Valid Test Syllabus - Associate-Cloud-Engineer Latest Exam Pdf

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Upon passing the Google Associate Cloud Engineer certification exam, you will receive a certificate that demonstrates your proficiency in operating and deploying applications, infrastructure, and services on the Google Cloud Platform. Google Associate Cloud Engineer Exam certification can help boost your career prospects, as it is recognized by employers and demonstrates that you have a strong understanding of cloud computing and the Google Cloud Platform.

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The Google Associate Cloud Engineer exam targets software engineers who would like to dabble into the Google Cloud. So, you need to be capable of using the command-line interfaces and Google Cloud Console to handle core platform-based tasks. These mostly include monitoring operations and managing enterprise solutions to maintain deployed applications. In addition, after successful writing of the test, candidates obtain the appropriate Google Cloud certification.

Google Associate Cloud Engineer Exam Sample Questions (Q53-Q58):

NEW QUESTION # 53
You have downloaded and installed the gcloud command line interface (CLI) and have authenticated with your Google Account. Most of your Compute Engine instances in your project run in the europe-west1-d zone.
You want to avoid having to specify this zone with each CLI command when managing these instances. What should you do?

A. In the Settings page for Compute Engine under Default location, set the zone to europe-west1-d.
B. Set the europe-west1-d zone as the default zone using the gcloud config subcommand.
C. In the CLI installation directory, create a file called default.conf containing zone=europe-west1-d.
D. Create a Metadata entry on the Compute Engine page with key compute/zone and value europe-west1-d.

Answer: C

NEW QUESTION # 54
Your organization needs to grant users access to query datasets in BigQuery but prevent them from accidentally deleting the datasets. You want a solution that follows Google-recommended practices. What should you do?

A. Create a custom role by removing delete permissions, and add users to that role only.
B. Create a custom role by removing delete permissions. Add users to the group, and then add the group to the custom role.
C. Add users to roles/bigquery user role only, instead of roles/bigquery dataOwner.
D. Add users to roles/bigquery dataEditor role only, instead of roles/bigquery dataOwner.

Answer: B

Explanation:
Explanation
https://cloud.google.com/bigquery/docs/access-control#custom_roles
Custom roles enable you to enforce the principle of least privilege, ensuring that the user and service accounts in your organization have only the permissions essential to performing their intended functions.

NEW QUESTION # 55
You are building an archival solution for your data warehouse and have selected Cloud Storage to archive your data. Your users need to be able to access this archived data once a quarter for some regulatory requirements.
You want to select a cost-efficient option. Which storage option should you use?

A. Nearline Storage
B. Regional Storage
C. Coldline Storage
D. Multi-Regional Storage

Answer: C

Explanation:
Coldline Storage is a very-low-cost, highly durable storage service for storing infrequently accessed data.
Coldline Storage is ideal for data you plan to read or modify at most once a quarter. Since we have a requirement to access data once a quarter and want to go with the most cost-efficient option, we should select Coldline Storage.
Ref: https://cloud.google.com/storage/docs/storage-classes#coldline

NEW QUESTION # 56
You need to select and configure compute resources for a set of batch processing jobs. These jobs take around
2 hours to complete and are run nightly. You want to minimize service costs. What should you do?

A. Select Compute Engine. Use preemptible VM instances of the appropriate standard machine type.
B. Select Google Kubernetes Engine. Use a three-node cluster with micro instance types.
C. Select Compute Engine. Use VM instance types that support micro bursting.
D. Select Google Kubernetes Engine. Use a single-node cluster with a small instance type.

Answer: A

NEW QUESTION # 57
Your team is building a website that handles votes from a large user population. The incoming votes will arrive at various rates. You want to optimize the storage and processing of the votes. What should you do?

A. Use a dedicated instance to process the incoming votes. Send the votes directly to this instance.
B. Save the incoming votes to a JSON file on Cloud Storage. Process the votes in a batch at the end of the day.
C. Save the incoming votes to Firestore. Use Cloud Scheduler to trigger a Cloud Functions instance to periodically process the votes.
D. Save the incoming votes to Pub/Sub. Use the Pub/Sub topic to trigger a Cloud Functions instance to process the votes.

Answer: A

Explanation:
Pub/Sub is a scalable and reliable messaging service that can handle large volumes of data from different sources at different rates. It allows you to decouple the producers and consumers of the data, and provides a durable and persistent storage for the messages until they are delivered. Cloud Functions is a serverless platform that can execute code in response to events, such as messages published to a Pub/Sub topic. It can scale automatically based on the load, and you only pay for the resources you use. By using Pub/Sub and Cloud Functions, you can optimize the storage and processing of the votes, as you can handle the variable rates of incoming votes, process them in real time or near real time, and avoid managing servers or VMs. Reference:
Pub/Sub documentation
Cloud Functions documentation
Choosing a messaging service for Google Cloud

NEW QUESTION # 58
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