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Google Certified Professional - Cloud Architect (GCP)

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Total Questions : 345

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Question # 71

For this question, refer to the TerramEarth case study. You are asked to design a new architecture for the

ingestion of the data of the 200,000 vehicles that are connected to a cellular network. You want to follow

Google-recommended practices.

Considering the technical requirements, which components should you use for the ingestion of the data?

Options:

A.  

Google Kubernetes Engine with an SSL Ingress

B.  

Cloud IoT Core with public/private key pairs

C.  

Compute Engine with project-wide SSH keys

D.  

Compute Engine with specific SSH keys

Discussion 0
Question # 72

For this question, refer to the TerramEarth case study. A new architecture that writes all incoming data to

BigQuery has been introduced. You notice that the data is dirty, and want to ensure data quality on an

automated daily basis while managing cost.

What should you do?

Options:

A.  

Set up a streaming Cloud Dataflow job, receiving data by the ingestion process. Clean the data in a Cloud Dataflow pipeline.

B.  

Create a Cloud Function that reads data from BigQuery and cleans it. Trigger it. Trigger the Cloud Function from a Compute Engine instance.

C.  

Create a SQL statement on the data in BigQuery, and save it as a view. Run the view daily, and save the result to a new table.

D.  

Use Cloud Dataprep and configure the BigQuery tables as the source. Schedule a daily job to clean the data.

Discussion 0
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