Free Access Google.Professional-Data-Engineer.v2024-02-15.q202 Practice Test (Page 22)

Question 101

To run a TensorFlow training job on your own computer using Cloud Machine Learning Engine, what would your command start with?

A.gcloud ml-engine local train

B.gcloud ml-engine jobs submit training

C.gcloud ml-engine jobs submit training local

D.You can't run a TensorFlow program on your own computer using Cloud ML Engine .

Question 102

Cloud Bigtable is Google's ______ Big Data database service.

A.Relational

B.mySQL

C.NoSQL

D.SQL Server

Question 103

Your company needs to upload their historic data to Cloud Storage. The security rules don't allow access from external IPs to their on-premises resources. After an initial upload, they will add new data from existing on-premises applications every day. What should they do?

A.Use Cloud Dataflow and write the data to Cloud Storage.

B.Execute gsutil rsync from the on-premises servers.

C.Install an FTP server on a Compute Engine VM to receive the files and move them to Cloud Storage.

D.Write a job template in Cloud Dataproc to perform the data transfer.

Question 104

You are developing an application that uses a recommendation engine on Google Cloud. Your solution
should display new videos to customers based on past views. Your solution needs to generate labels for
the entities in videos that the customer has viewed. Your design must be able to provide very fast filtering
suggestions based on data from other customer preferences on several TB of data. What should you do?

A.Build an application that calls the Cloud Video Intelligence API to generate labels. Store data in Cloud
SQL, and join and filter the predicted labels to match the user's viewing history to generate
preferences.

B.Build an application that calls the Cloud Video Intelligence API to generate labels. Store data in Cloud
Bigtable, and filter the predicted labels to match the user's viewing history to generate preferences.

C.Build and train a classification model with Spark MLlib to generate labels. Build and train a second
classification model with Spark MLlib to filter results to match customer preferences. Deploy the
models using Cloud Dataproc. Call the models from your application.

D.Build and train a complex classification model with Spark MLlib to generate labels and filter the results.
Deploy the models using Cloud Dataproc. Call the model from your application.

Question 105

You are a retailer that wants to integrate your online sales capabilities with different in-home assistants, such as Google Home. You need to interpret customer voice commands and issue an order to the backend systems. Which solutions should you choose?

A.Cloud Natural Language API

B.Dialogflow Enterprise Edition

C.Cloud Speech-to-Text API

D.Cloud AutoML Natural Language

Other Version: 1172Google.Professional-Data-Engineer.v2026-02-05.q279; 1457Google.Professional-Data-Engineer.v2025-09-04.q126; 1464Google.Professional-Data-Engineer.v2025-03-18.q108; 2660Google.Professional-Data-Engineer.v2024-12-09.q327; 3259Google.Professional-Data-Engineer.v2023-09-14.q233; 4657Google.Professional-Data-Engineer.v2022-07-07.q155; 6650Google.Professional-Data-Engineer.v2022-02-11.q268; 112Google.Examcollectionpass.Professional-Data-Engineer.v2021-12-20.by.jonathan.161q.pdf

Latest Upload: 202PaloAltoNetworks.NGFW-Engineer.v2026-05-01.q43; 299Nokia.4A0-113.v2026-05-01.q69; 258EC-COUNCIL.312-49v11.v2026-04-30.q214; 228Microsoft.MB-820.v2026-04-30.q101; 212Salesforce.MC-202.v2026-04-30.q57; 206BICSI.INSTC_V8.v2026-04-29.q53; 336NMLS.MLO.v2026-04-28.q82; 243NCARB.Project-Management.v2026-04-28.q27; 465EMC.D-AV-DY-23.v2026-04-27.q184; 1120ServiceNow.CSA.v2026-04-27.q483

Question 101

Question 102

Question 103

Question 104

Question 105

Download PDF File