Free Professional-Data-Engineer Exam Questions - Easiest Way for Success

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Total 472 Questions | Updated On: Sep 11, 2024

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Question 1

You are designing a Dataflow pipeline for a batch processing job. You want to mitigate multiple zonal failures

at job submission time. What should you do?

A : Specify a worker region by using the —region flag.

B : Set the pipeline staging location as a regional Cloud Storage bucket.

C : Submit duplicate pipelines in two different zones by using the —zone flag.

D : Create an Eventarc trigger to resubmit the job in case of zonal failure when submitting the job.

Answer: A

Question 2

A insurance claim review company provides expert opinion on contested insurance claims. The company uses Google Cloud for it's data analysis pipelines. Clients of the company upload documents to Cloud Storage. When a file is uploaded, the company wants to immediately move the files to a Classified Data bucket if the file contains personally identifying information. What method would you recommend to accomplish this?

A : Create a quarantine bucket for uploading, once a file is uploaded trigger a Cloud Function to call a custom built machine learning model trained to detect PII. If PII is detected, move the file to the Classified Data bucket.

B : Create a quarantine bucket for uploading, once a file is uploaded trigger a Cloud Function to call the Data Loss Prevention API to apply infotypes to detect PII. If PII is detected, move file to the Classified Data bucket.

C : Create a quarantine bucket for uploading, use Cloud Scheduler to run a job to run hourly that will call a custom built machine learning model trained to detect PII. If PII is detected, move file to the Classified Data bucket.

D : Create a quarantine bucket for uploading, use Cloud Scheduler to run a job to run hourly that will call the Data Loss Prevention API to apply infotypes to detect PII. If PII is detected, move file to the Classified Data bucket.

Answer: B

Question 3

A European health care company uses Cloud Pub/Sub as part of a data processing pipeline. The CTO of the company is concerned that data might accidentally be written to a region outside the European Union, which would violate the GDPR regulation. What would you recommend the company does to ensure data stays within Google Cloud regions in the European Union?

A : Set a Resource Location Restriction organization policy to ensure all topics are stored only in acceptable regions.

B : Set a Resource Location Restriction organization policy to ensure all buckets are stored only in acceptable regions.

C : Only define Cloud Pub/Sub endpoints in acceptable regions when creating topics.

D : Only define Cloud Pub/Sub endpoints in acceptable regions when creating subscriptions.

Answer: A

Question 4

As your organization expands its usage of GCP, many teams have started to create their own projects. Projects are further multiplied to accommodate different stages of deployments and target audiences. Each project requires unique access control configurations. The central IT team needs to have access to all projects. Furthermore, data from Cloud Storage buckets and BigQuery datasets must be shared for use in other projects in an ad hoc way. You want to simplify access control management by minimizing the number of policies. Which two steps should you take? Choose 2 answers.

A : Use Cloud Deployment Manager to automate access provision.

B : Introduce resource hierarchy to leverage access control policy inheritance.

C : Create distinct groups for various teams, and specify groups in Cloud IAM policies.

D : Only use service accounts when sharing data for Cloud Storage buckets and BigQuery datasets.

E : For each Cloud Storage bucket or BigQuery dataset, decide which projects need access. Find all the active members who have access to these projects, and create a Cloud IAM policy to grant access to all these users.

Answer: A,C

Question 5

You have a data processing application that runs on Google Kubernetes Engine (GKE). Containers need to be

launched with their latest available configurations from a container registry. Your GKE nodes need to have

GPUs. local SSDs, and 8 Gbps bandwidth. You want to efficiently provision the data processing infrastructure

and manage the deployment process. What should you do?

A : Use Compute Engi.no startup scriots to pull container Images, and use gloud commands to provision theinfrastructure.

B : Use GKE to autoscale containers, and use gloud commands to provision the infrastructure.

C : Use Cloud Build to schedule a job using Terraform build to provision the infrastructure and launch with the most current container images.

D : Use Dataflow to provision the data pipeline, and use Cloud Scheduler to run the job.

Answer: C

Page: 1 / 95

Total 472 Questions | Updated On: Sep 11, 2024

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