Associate-Cloud-Engineer exams questions and answers & dumps PDF for Google Associate Cloud Engineer Exam

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To be eligible for the Google Associate-Cloud-Engineer Certification Exam, you need to have a basic understanding of cloud computing concepts and be familiar with GCP services. You should also have experience using GCP to deploy, manage, and operate applications. Associate-Cloud-Engineer Exam consists of multiple-choice and multiple-select questions and is administered online.

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Google Associate-Cloud-Engineer Certification Exam is designed to test the candidate's proficiency in various GCP services, including compute, storage, networking, and security. Associate-Cloud-Engineer exam focuses on practical scenarios, requiring candidates to demonstrate their ability to design, deploy, and manage GCP solutions. Associate-Cloud-Engineer exam also covers essential cloud computing concepts such as scalability, reliability, and cost optimization. Google Associate Cloud Engineer Exam certification is ideal for professionals who have experience in cloud computing and are looking to gain expertise in GCP.

Google Associate-Cloud-Engineer Certification Exam is a valuable credential for IT professionals who want to demonstrate their expertise in cloud computing and GCP technologies. Google Associate Cloud Engineer Exam certification can help you stand out in a competitive job market and increase your earning potential. By passing the exam, you will become a certified Google Associate Cloud Engineer, demonstrating to potential employers that you have the skills and knowledge needed to deploy and manage cloud-based solutions on Google Cloud Platform.

Google Associate Cloud Engineer Exam Sample Questions (Q236-Q241):

NEW QUESTION # 236
You have created a code snippet that should be triggered whenever a new file is uploaded to a Cloud Storage bucket. You want to deploy this code snippet. What should you do?

A. Use Cloud Functions and configure the bucket as a trigger resource.
B. Use Google Kubernetes Engine and configure a CronJob to trigger the application using Pub/Sub.
C. Use App Engine and configure Cloud Scheduler to trigger the application using Pub/Sub.
D. Use Dataflow as a batch job, and configure the bucket as a data source.

Answer: A

Explanation:
Explanation
Google Cloud Storage Triggers
Cloud Functions can respond to change notifications emerging from Google Cloud Storage. These notifications can be configured to trigger in response to various events inside a bucket-object creation, deletion, archiving and metadata updates.
Note: Cloud Functions can only be triggered by Cloud Storage buckets in the same Google Cloud Platform project.
Event types
Cloud Storage events used by Cloud Functions are based on Cloud Pub/Sub Notifications for Google Cloud Storage and can be configured in a similar way.
Supported trigger type values are:
google.storage.object.finalize
google.storage.object.delete
google.storage.object.archive
google.storage.object.metadataUpdate
Object Finalize
Trigger type value: google.storage.object.finalize
This event is sent when a new object is created (or an existing object is overwritten, and a new generation of that object is created) in the bucket.
https://cloud.google.com/functions/docs/calling/storage#event_types

NEW QUESTION # 237
You need to configure optimal data storage for files stored in Cloud Storage for minimal cost. The files are used in a mission-critical analytics pipeline that is used continually. The users are in Boston, MA (United States). What should you do?

A. Configure regional storage for the region closest to the users Configure a Nearline storage class
B. Configure dual-regional storage for the dual region closest to the users Configure a Nearline storage class
C. Configure dual-regional storage for the dual region closest to the users Configure a Standard storage class
D. Configure regional storage for the region closest to the users Configure a Standard storage class

Answer: D

Explanation:
Keywords: - continually -> Standard - mission-critical analytics -> dual-regional

NEW QUESTION # 238
You need to monitor resources that are distributed over different projects in Google Cloud Platform. You want to consolidate reporting under the same Stackdriver Monitoring dashboard.
What should you do?

A. Use Shared VPC to connect all projects, and link Stackdriver to one of the projects.
B. For each project, create a Stackdriver account. In each project, create a service account for that project and grant it the role of Stackdriver Account Editor in all other projects.
C. Configure a single Stackdriver account for one of the projects. In Stackdriver, create a Group and add the other project names as criteria for that Group.
D. Configure a single Stackdriver account, and link all projects to the same account.

Answer: D

Explanation:
When you intially click on Monitoring(Stackdriver Monitoring) it creates a workspac(a stackdriver account) linked to the ACTIVE(CURRENT) Project from which it was clicked.
Now if you change the project and again click onto Monitoring it would create an another workspace(a stackdriver account) linked to the changed ACTIVE(CURRENT) Project, we don't want this as this would not consolidate our result into a single dashboard(workspace/stackdriver account).
If you have accidently created two diff workspaces merge them under Monitoring > Settings > Merge Workspaces > MERGE.
If we have only one workspace and two projects we can simply add other GCP Project under Monitoring > Settings > GCP Projects > Add GCP Projects.
In both of these cases we did not create a GROUP, we just linked GCP Project to the workspace(stackdriver account).

NEW QUESTION # 239
You are developing an application that will be deployed on Google Cloud. The application will use a service account to retrieve data from BigQuery. Before you deploy your application, you want to test the permissions of this service account from your local machine to ensure there will be no authentication issues. You want to ensure that you use the most secure method while following Google-recommended practices. What should you do?

A. Generate a service account key, and configure the gcloud CLI to use this key. Issue a relevant BigQuery request through the gdoud CLI to test the access.
B. Grant the service account the BigQuery Administrator IAM role to ensure the service account has all required access.
C. Configure the gcloud CLI to use service account impersonation. Issue a relevant BigQuery request through the gcloud CLI to test the access.
D. Configure the gcloud CLI with Application Default Credentials using your user account. Issue a relevant BigQuery request through the gcloud CLI to test the access.

Answer: C

Explanation:
Configuring the gcloud CLI to use service account impersonation is the most secure method. It allows you to test the permissions of the service account without creating and managing a service account key. This approach follows Google-recommended best practices because it avoids the security risks associated with long-lived keys and ensures that you're verifying the exact permissions that the service account will have when the application is deployed.

NEW QUESTION # 240
You need to create a copy of a custom Compute Engine virtual machine (VM) to facilitate an expected increase in application traffic due to a business acquisition. What should you do?

A. Create a custom Compute Engine image from a snapshot.
Create your instances from that image.
B. Create a Compute Engine snapshot of your base VM.
Create your images from that snapshot.
C. Create a custom Compute Engine image from a snapshot.
Create your images from that image.
D. Create a Compute Engine snapshot of your base VM.
Create your instances from that snapshot.

Answer: A

Explanation:
A custom image belongs only to your project. To create an instance with a custom image, you must first have a custom image.
Reference: https://cloud.google.com/compute/docs/instances/create-start-instance

NEW QUESTION # 241
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