Professional-Machine-Learning-Engineer Google Exam Questions and Free Practice Test

Question 13

You are an ML engineer at a large grocery retailer with stores in multiple regions. You have been asked to create an inventory prediction model. Your models features include region, location, historical demand, and seasonal popularity. You want the algorithm to learn from new inventory data on a daily basis. Which algorithms should you use to build the model?

A. Classification

B. Reinforcement Learning

C. Recurrent Neural Networks (RNN)

D. Convolutional Neural Networks (CNN)

Correct Answer:B

Question 14

You have written unit tests for a Kubeflow Pipeline that require custom libraries. You want to automate the execution of unit tests with each new push to your development branch in Cloud Source Repositories. What should you do?

A. Write a script that sequentially performs the push to your development branch and executes the unit tests on Cloud Run

B. Using Cloud Build, set an automated trigger to execute the unit tests when changes are pushed to your development branch.

C. Set up a Cloud Logging sink to a Pub/Sub topic that captures interactions with Cloud Source Repositories Configure a Pub/Sub trigger for Cloud Run, and execute the unit tests on Cloud Run.

D. Set up a Cloud Logging sink to a Pub/Sub topic that captures interactions with Cloud Source Repositorie

E. Execute the unit tests using a Cloud Function that is triggered when messages are sent to the Pub/Sub topic

Correct Answer:B

Question 15

You are training a TensorFlow model on a structured data set with 100 billion records stored in several CSV files. You need to improve the input/output execution performance. What should you do?

A. Load the data into BigQuery and read the data from BigQuery.

B. Load the data into Cloud Bigtable, and read the data from Bigtable

C. Convert the CSV files into shards of TFRecords, and store the data in Cloud Storage

D. Convert the CSV files into shards of TFRecords, and store the data in the Hadoop Distributed File System (HDFS)

Correct Answer:B

Question 16

You are an ML engineer in the contact center of a large enterprise. You need to build a sentiment analysis tool that predicts customer sentiment from recorded phone conversations. You need to identify the best approach to building a model while ensuring that the gender, age, and cultural differences of the customers who called the contact center do not impact any stage of the model development pipeline and results. What should you do?

A. Extract sentiment directly from the voice recordings

B. Convert the speech to text and build a model based on the words

C. Convert the speech to text and extract sentiments based on the sentences

D. Convert the speech to text and extract sentiment using syntactical analysis

Correct Answer:C

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