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Google Cloud Certified Google Professional Data Engineer Exam

Google Professional Data Engineer Exam

Last Update Jul 15, 2024
Total Questions : 330

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Questions 4

You are building a model to make clothing recommendations. You know a user’s fashion preference is likely to change over time, so you build a data pipeline to stream new data back to the model as it becomes available. How should you use this data to train the model?

Options:

A.  

Continuously retrain the model on just the new data.

B.  

Continuously retrain the model on a combination of existing data and the new data.

C.  

Train on the existing data while using the new data as your test set.

D.  

Train on the new data while using the existing data as your test set.

Discussion 0
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Questions 5

You are creating a model to predict housing prices. Due to budget constraints, you must run it on a single resource-constrained virtual machine. Which learning algorithm should you use?

Options:

A.  

Linear regression

B.  

Logistic classification

C.  

Recurrent neural network

D.  

Feedforward neural network

Discussion 0
Questions 6

Your company is streaming real-time sensor data from their factory floor into Bigtable and they have noticed extremely poor performance. How should the row key be redesigned to improve Bigtable performance on queries that populate real-time dashboards?

Options:

A.  

Use a row key of the form .

B.  

Use a row key of the form .

C.  

Use a row key of the form #.

D.  

Use a row key of the form >##.

Discussion 0
Questions 7

Your company has recently grown rapidly and now ingesting data at a significantly higher rate than it was previously. You manage the daily batch MapReduce analytics jobs in Apache Hadoop. However, the recent increase in data has meant the batch jobs are falling behind. You were asked to recommend ways the development team could increase the responsiveness of the analytics without increasing costs. What should you recommend they do?

Options:

A.  

Rewrite the job in Pig.

B.  

Rewrite the job in Apache Spark.

C.  

Increase the size of the Hadoop cluster.

D.  

Decrease the size of the Hadoop cluster but also rewrite the job in Hive.

Discussion 0

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