Google Cloud Dumps for Cloud Associate Certification (2023)

Welcome to your Google Cloud Certification Quiz

Which cloud-based data processing service is used for both batch and real-time data streaming applications.

Google Cloud Dataproc

Google Cloud Dataflow

Google Container Engine with Bigtable

Google Compute Engine with Google BigQuery

Your company is moving 75 TB of data into Google Cloud. You want to use Cloud Storage and follow Google-recommended practices. What should you do?

Move your data onto a Transfer Appliance. Use a Transfer Appliance Rehydrator to decrypt the data into Cloud Storage.

Move your data onto a Transfer Appliance. Use Cloud Dataprep to decrypt the data into Cloud Storage.

Install gsutil on each server that contains data. Use resumable transfers to upload the data into Cloud Storage.

Install gsutil on each server containing data. Use streaming transfers to upload the data into Cloud Storage.

A production database virtual machine on Google Compute Engine has an ext4-formatted persistent disk for data files. The database is about to run out of storage space. How can you remediate the problem with the least amount of downtime?

In the Cloud Platform Console, increase the size of the persistent disk and use the resize2fs command in Linux.

Shut down the virtual machine, use the Cloud Platform Console to increase the persistent disk size, then restart the virtual machine

In the Cloud Platform Console, increase the size of the persistent disk and verify the new space is ready to use with the fdisk command in Linux

In the Cloud Platform Console, create a new persistent disk attached to the virtual machine, format and mount it, and configure the database service to move the files to the new disk

The maximum size of Cloud Storage Object is

5KB

5TiB

There is no limit

5GB

You are creating a solution to remove backup files older than 90 days from your backup Cloud Storage bucket. You want to optimize ongoing Cloud Storage spend. What should you do?

Write a lifecycle management rule in XML and push it to the bucket with gsutil

Write a lifecycle management rule in JSON and push it to the bucket with gsutil

Schedule a cron script using gsutil ls ג€'lr gs://backups/** to find and remove items older than 90 days

None of these

Which service that lets you use open source data tools for batch processing, querying, streaming, and machine learning

Google Cloud Dataflow

Google Kubernetes Engine

Google Compute Engine

Google Cloud Dataproc

You want to optimize the performance of an accurate, real-time, weather-charting application. The data comes from 50,000 sensors sending 10 readings a second, in the format of a timestamp and sensor reading. Where should you store the data?

Google BigQuery

Google Cloud SQL

Google Cloud Bigtable

Google Cloud Storage

During a high traffic portion of the day, one of your relational databases crashes, but the replica is never promoted to a master. What should you do?

Use a different database

Choose larger instances for your database

Create snapshots of your database more regularly

Implement routinely scheduled failovers of your databases

You are using Cloud Shell and need to install a custom utility for use in a few weeks. Where can you store the file so it is in the default execution path and persists across sessions?

~/bin

Cloud Storage

/google/scripts

/usr/local/bin

Your company is migrating its on-premises data center into the cloud. As part of the migration, you want to integrate Google Kubernetes Engine (GKE) for workload orchestration. Parts of your architecture must also be PCI DSS-compliant. Which of the following is most accurate?

App Engine is the only compute platform on GCP that is certified for PCI DSS hosting.

GKE cannot be used under PCI DSS because it is considered shared hosting.

GKE and GCP provide the tools you need to build a PCI DSS-compliant environment.

All Google Cloud services are usable because Google Cloud Platform is certified PCI-compliant.

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