Google examstrust google Professional-data-engineer Online Access by Arnie 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:	387 Q&A's	Shared By:	arnie

Question 40

You are developing a software application using Google's Dataflow SDK, and want to use conditional, for loops and other complex programming structures to create a branching pipeline. Which component will be used for the data processing operation?

Options:

PCollection

Transform

Pipeline

Sink API

Discussion

Question 41

You work for a mid-sized enterprise that needs to move its operational system transaction data from an on-premises database to GCP. The database is about 20 TB in size. Which database should you choose?

Options:

Cloud SQL

Cloud Bigtable

Cloud Spanner

Cloud Datastore

Discussion

Question 42

Your team is building a data lake platform on Google Cloud. As a part of the data foundation design, you are planning to store all the raw data in Cloud Storage You are expecting to ingest approximately 25 GB of data a day and your billing department is worried about the increasing cost of storing old data. The current business requirements are:

• The old data can be deleted anytime

• You plan to use the visualization layer for current and historical reporting

• The old data should be available instantly when accessed

• There should not be any charges for data retrieval.

What should you do to optimize for cost?

Options:

Create the bucket with the Autoclass storage class feature.

Create an Object Lifecycle Management policy to modify the storage class for data older than 30 days to nearline, 90 days to coldline. and 365 days to archive storage class. Delete old data as needed.

Create an Object Lifecycle Management policy to modify the storage class for data older than 30 days to coldline, 90 days to nearline. and 365 days to archive storage class Delete old data as needed.

Create an Object Lifecycle Management policy to modify the storage class for data older than 30 days to nearlme. 45 days to coldline. and 60 days to archive storage class Delete old data as needed.

Discussion

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Question 43

Each analytics team in your organization is running BigQuery jobs in their own projects. You want to enable each team to monitor slot usage within their projects. What should you do?

Options:

Create a Stackdriver Monitoring dashboard based on the BigQuery metric query/scanned_bytes

Create a Stackdriver Monitoring dashboard based on the BigQuery metric slots/allocated_for_project

Create a log export for each project, capture the BigQuery job execution logs, create a custom metric based on the totalSlotMs, and create a Stackdriver Monitoring dashboard based on the custom metric

Create an aggregated log export at the organization level, capture the BigQuery job execution logs, create a custom metric based on the totalSlotMs, and create a Stackdriver Monitoring dashboard based on the custom metric

Discussion

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