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Google Professional-Data-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Cloud Professional Data Engineer Exam
Exam Number:	Professional-Data-Engineer
Available Languages:	Japanese, English
Exam Format:	Multiple select, Multiple choice
Certificate Validity Period:	2 years
Related Certifications:	Google Cloud Professional Data Analyst Google Cloud Associate Cloud Engineer Google Cloud Professional Cloud Architect
Exam Price:	USD 200 (plus tax where applicable)
Exam Duration:	120 minutes
Passing Score:	700 / 1000
Real Exam Qty:	40 - 50
Recommended Training:	Official Exam Guide Google Cloud Professional Data Engineer Learning Path
Exam Registration:	Google Cloud Certification Registration
Sample Questions:	Google Professional-Data-Engineer Sample Questions
Exam Way:	Online-proctored or onsite-proctored
Pre Condition:	No mandatory prerequisites; recommended 3+ years industry experience, including 1+ year designing and managing Google Cloud data solutions
Official Syllabus URL:	https://cloud.google.com/learn/certification/data-engineer

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The Google Professional-Data-Engineer Exam Tests the candidate's proficiency in working with various data processing tools, including Google Cloud Platform technologies such as BigQuery, Dataflow, and Cloud Storage. Professional-Data-Engineer exam also covers topics such as data modeling, data ingestion, data transformation, and data analysis. Additionally, the exam tests the candidate's understanding of best practices for data engineering, including performance optimization, security, and compliance.

Google Certified Professional Data Engineer Exam Sample Questions (Q137-Q142):

NEW QUESTION # 137
An online brokerage company requires a high volume trade processing architecture. You need to create a secure queuing system that triggers jobs. The jobs will run in Google Cloud and cat the company's Python API to execute trades. You need to efficiently implement a solution. What should you do?

A. Write an application that makes a queue in a NoSQL database
B. Use Cloud Composer to subscribe to a Pub/Sub tope and can the Python API.
C. Write an application hosted on a Compute Engine instance that makes a push subscription to the Pub/Sub topic
D. Use a Pub/Sub push subscription to trigger a Cloud Function to pass the data to tie Python API.

Answer: A

NEW QUESTION # 138
MJTelco is building a custom interface to share dat
a. They have these requirements:
They need to do aggregations over their petabyte-scale datasets.
They need to scan specific time range rows with a very fast response time (milliseconds).
Which combination of Google Cloud Platform products should you recommend?

A. BigQuery and Cloud Storage
B. Cloud Bigtable and Cloud SQL
C. BigQuery and Cloud Bigtable
D. Cloud Datastore and Cloud Bigtable

Answer: C

NEW QUESTION # 139
Your startup has a web application that currently serves customers out of a single region in Asia. You are targeting funding that will allow your startup lo serve customers globally. Your current goal is to optimize for cost, and your post-funding goat is to optimize for global presence and performance. You must use a native JDBC driver. What should you do?

A. Use a Cloud SQL for PostgreSQL highly available instance first, and Bigtable with US. Europe, and Asia replication alter securing funding
B. Use Cloud Spanner to configure a single region instance initially. and then configure multi-region C oud Spanner instances after securing funding.
C. Use a Cloud SQL for PostgreSQL zonal instance first and Bigtable with US. Europe, and Asia after securing funding.
D. Use a Cloud SOL for PostgreSQL zonal instance first, and Cloud SOL for PostgreSQL with highly available configuration after securing funding.

Answer: B

Explanation:
https://cloud.google.com/spanner/docs/instance-configurations#tradeoffs_regional_versus_multi-region_configu

NEW QUESTION # 140
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 AutoML Natural Language
B. Dialogflow Enterprise Edition
C. Cloud Speech-to-Text API
D. Cloud Natural Language API

Answer: B

NEW QUESTION # 141
Your company has hired a new data scientist who wants to perform complicated analyses across very large datasets stored in Google Cloud Storage and in a Cassandra cluster on Google Compute Engine. The scientist primarily wants to create labelled data sets for machine learning projects, along with some visualization tasks.
She reports that her laptop is not powerful enough to perform her tasks and it is slowing her down. You want to help her perform her tasks. What should you do?

A. Host a visualization tool on a VM on Google Compute Engine.
B. Grant the user access to Google Cloud Shell.
C. Run a local version of Jupiter on the laptop.
D. Deploy Google Cloud Datalab to a virtual machine (VM) on Google Compute Engine.

Answer: B

NEW QUESTION # 142
......

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