Google pass4success newly Released Associate-cloud-engineer Exam Pdf by Denis q217 vce pdf

Page: 14 / 24

Exam Name:	Google Cloud Certified - Associate Cloud Engineer
Exam Code:	Associate-Cloud-Engineer Dumps
Vendor:	Google	Certification:	Google Cloud Certified
Questions:	325 Q&A's	Shared By:	denis

Question 56

(You are migrating your company’s on-premises compute resources to Google Cloud. You need to deploy batch processing jobs that run every night. The jobs require significant CPU and memory for several hours but can tolerate interruptions. You must ensure that the deployment is cost-effective. What should you do?)

Options:

Containerize the batch processing jobs and deploy them on Compute Engine.

Use custom machine types on Compute Engine.

Use the M1 machine series on Compute Engine.

Use Spot VMs on Compute Engine.

Discussion

Sam

Can I get help from these dumps and their support team for preparing my exam?

Audrey Jul 7, 2025

Definitely, you won't regret it. They've helped so many people pass their exams and I'm sure they'll help you too. Good luck with your studies!

Esmae

I highly recommend Cramkey Dumps to anyone preparing for the certification exam.

Mollie Jul 20, 2025

Absolutely. They really make it easier to study and retain all the important information. I'm so glad I found Cramkey Dumps.

Addison

Want to tell everybody through this platform that I passed my exam with excellent score. All credit goes to Cramkey Exam Dumps.

Libby Jul 11, 2025

That's good to know. I might check it out for my next IT certification exam. Thanks for the info.

Cody

I used Cramkey Dumps to prepare and a lot of the questions on the exam were exactly what I found in their study materials.

Eric Jul 18, 2025

Really? That's great to hear! I used Cramkey Dumps too and I had the same experience. The questions were almost identical.

Billy

It was like deja vu! I was confident going into the exam because I had already seen those questions before.

Vincent Jul 20, 2025

Definitely. And the best part is, I passed! I feel like all that hard work and preparation paid off. Cramkey is the best resource for all students!!!

Question 57

You are analyzing Google Cloud Platform service costs from three separate projects. You want to use this information to create service cost estimates by service type, daily and monthly, for the next six months using standard query syntax. What should you do?

Options:

Export your bill to a Cloud Storage bucket, and then import into Cloud Bigtable for analysis.

Export your bill to a Cloud Storage bucket, and then import into Google Sheets for analysis.

Export your transactions to a local file, and perform analysis with a desktop tool.

Export your bill to a BigQuery dataset, and then write time window-based SQL queries for analysis.

Discussion

Question 58

You are managing a project for the Business Intelligence (BI) department in your company. A data pipeline ingests data into BigQuery via streaming. You want the users in the BI department to be able to run the custom SQL queries against the latest data in BigQuery. What should you do?

Options:

Create a Data Studio dashboard that uses the related BigQuery tables as a source and give the BI team view access to the Data Studio dashboard.

Create a Service Account for the BI team and distribute a new private key to each member of the BI team.

Use Cloud Scheduler to schedule a batch Dataflow job to copy the data from BigQuery to the BI team's internal data warehouse.

Assign the IAM role of BigQuery User to a Google Group that contains the members of the BI team.

Discussion

Question 59

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?

Options:

Create a Cloud Bigtable cluster and use the HBase API

Deploy MongoDB Alias from the Google Cloud Marketplace

Download a MongoDB installation package and run it on Compute Engine instances

Download a MongoDB installation package, and run it on a Managed Instance Group