Google 2cram all Professional-data-engineer Test Inside Google Questions by Alara q54 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:	374 Q&A's	Shared By:	alara

Question 36

Does Dataflow process batch data pipelines or streaming data pipelines?

Options:

Only Batch Data Pipelines

Both Batch and Streaming Data Pipelines

Only Streaming Data Pipelines

None of the above

Discussion

Question 37

What are two of the characteristics of using online prediction rather than batch prediction?

Options:

It is optimized to handle a high volume of data instances in a job and to run more complex models.

Predictions are returned in the response message.

Predictions are written to output files in a Cloud Storage location that you specify.

It is optimized to minimize the latency of serving predictions.

Discussion

Question 38

Suppose you have a dataset of images that are each labeled as to whether or not they contain a human face. To create a neural network that recognizes human faces in images using this labeled dataset, what approach would likely be the most effective?

Options:

Use K-means Clustering to detect faces in the pixels.

Use feature engineering to add features for eyes, noses, and mouths to the input data.

Use deep learning by creating a neural network with multiple hidden layers to automatically detect features of faces.

Build a neural network with an input layer of pixels, a hidden layer, and an output layer with two categories.

Discussion

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Question 39

Flowlogistic’s CEO wants to gain rapid insight into their customer base so his sales team can be better informed in the field. This team is not very technical, so they’ve purchased a visualization tool to simplify the creation of BigQuery reports. However, they’ve been overwhelmed by all the data in the table, and are spending a lot of money on queries trying to find the data they need. You want to solve their problem in the most cost-effective way. What should you do?

Options:

Export the data into a Google Sheet for virtualization.

Create an additional table with only the necessary columns.

Create a view on the table to present to the virtualization tool.

Create identity and access management (IAM) roles on the appropriate columns, so only they appear in a query.

Discussion

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