Google certkiller professional-data-engineer Exam Questions Tutorials by Adnan q161 vce pdf

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Exam Name:	Google Professional Data Engineer Exam
Exam Code:	Professional-Data-Engineer Dumps
Vendor:	Google	Certification:	Google Cloud Certified
Questions:	372 Q&A's	Shared By:	adnan

Question 16

You are using Workflows to call an API that returns a 1 KB JSON response, apply some complex business logic on this response, wait for the logic to complete, and then perform a load from a Cloud Storage file to BigQuery. The Workflows standard library does not have sufficient capabilities to perform your complex logic, and you want to use Python's standard library instead. You want to optimize your workflow for simplicity and speed of execution. What should you do?

Options:

Invoke a Cloud Function instance that uses Python to apply the logic on your JSON file.

Invoke a subworkflow in Workflows to apply the logic on your JSON file.

Create a Cloud Composer environment and run the logic in Cloud Composer.

Create a Dataproc cluster, and use PySpark to apply the logic on your JSON file.

Discussion

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Question 17

You are a head of BI at a large enterprise company with multiple business units that each have different priorities and budgets. You use on-demand pricing for BigQuery with a quota of 2K concurrent on-demand slots per project. Users at your organization sometimes don’t get slots to execute their query and you need to correct this. You’d like to avoid introducing new projects to your account.

What should you do?

Options:

Convert your batch BQ queries into interactive BQ queries.

Create an additional project to overcome the 2K on-demand per-project quota.

Switch to flat-rate pricing and establish a hierarchical priority model for your projects.

Increase the amount of concurrent slots per project at the Quotas page at the Cloud Console.

Discussion

Question 18

You need (o give new website users a globally unique identifier (GUID) using a service that takes in data points and returns a GUID This data is sourced from both internal and external systems via HTTP calls that you will make via microservices within your pipeline There will be tens of thousands of messages per second and that can be multithreaded, and you worry about the backpressure on the system How should you design your pipeline to minimize that backpressure?

Options:

Call out to the service via HTTP

Create the pipeline statically in the class definition

Create a new object in the startBundle method of DoFn

Batch the job into ten-second increments

Discussion

Question 19

You need to choose a database for a new project that has the following requirements:

Fully managed

Able to automatically scale up

Transactionally consistent

Able to scale up to 6 TB