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Google Updated Professional-Data-Engineer Exam Questions and Answers by alara

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Google Professional-Data-Engineer Exam Overview :

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: alara
Question 36

If you want to create a machine learning model that predicts the price of a particular stock based on its recent price history, what type of estimator should you use?

Options:

A.

Unsupervised learning

B.

Regressor

C.

Classifier

D.

Clustering estimator

Discussion
Question 37

Which is not a valid reason for poor Cloud Bigtable performance?

Options:

A.

The workload isn't appropriate for Cloud Bigtable.

B.

The table's schema is not designed correctly.

C.

The Cloud Bigtable cluster has too many nodes.

D.

There are issues with the network connection.

Discussion
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Question 38

You are planning to use Google's Dataflow SDK to analyze customer data such as displayed below. Your project requirement is to extract only the customer name from the data source and then write to an output PCollection.

Tom,555 X street

Tim,553 Y street

Sam, 111 Z street

Which operation is best suited for the above data processing requirement?

Options:

A.

ParDo

B.

Sink API

C.

Source API

D.

Data extraction

Discussion
Question 39

You are deploying 10,000 new Internet of Things devices to collect temperature data in your warehouses globally. You need to process, store and analyze these very large datasets in real time. What should you do?

Options:

A.

Send the data to Google Cloud Datastore and then export to BigQuery.

B.

Send the data to Google Cloud Pub/Sub, stream Cloud Pub/Sub to Google Cloud Dataflow, and store the data in Google BigQuery.

C.

Send the data to Cloud Storage and then spin up an Apache Hadoop cluster as needed in Google Cloud Dataproc whenever analysis is required.

D.

Export logs in batch to Google Cloud Storage and then spin up a Google Cloud SQL instance, import the data from Cloud Storage, and run an analysis as needed.

Discussion
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