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Google Professional-Data-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Cloud Certified Professional Data Engineer Exam
Exam Number:	Professional Data Engineer
Available Languages:	French, English, Portuguese, German, Spanish, Japanese
Exam Duration:	120 minutes
Related Certifications:	Google Cloud Certified - Professional Cloud Architect Google Cloud Certified - Associate Cloud Engineer Google Cloud Certified - Professional Data Analytics Engineer Google Cloud Certified - Professional Machine Learning Engineer
Certificate Validity Period:	2 years
Exam Price:	$200 USD
Passing Score:	Not publicly disclosed (scaled scoring system)
Exam Format:	multiple select, multiple choice, case study
Real Exam Qty:	Approximately 50–60 multiple choice and multiple select questions
Recommended Training:	Google Cloud Data Engineering Learning Path Google Cloud Professional Data Engineer Course (Coursera)
Exam Registration:	Google Cloud Certification Registration
Sample Questions:	Google Professional-Data-Engineer Sample Questions
Exam Way:	Online proctored exam or onsite test center (Kryterion Webassessor)
Pre Condition:	No formal prerequisites required; recommended experience with data processing and Google Cloud Platform services
Official Syllabus URL:	https://cloud.google.com/learn/certification/data-engineer

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Google Professional-Data-Engineer Exam is a certification offered by Google to professionals who specialize in data engineering. Professional-Data-Engineer exam is designed to test the candidate's understanding of data processing systems, data modeling, data governance, and data transformation. Google Certified Professional Data Engineer Exam certification aims to validate the candidate's expertise in Google Cloud Platform's data engineering technologies and their ability to design and develop effective data solutions.

Google Certified Professional Data Engineer Exam Sample Questions (Q153-Q158):

NEW QUESTION # 153
Your startup has a web application that currently serves customers out of a single region in Asi a. 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 SOL for PostgreSQL zonal instance first, and Cloud SOL for PostgreSQL with highly available configuration after securing funding.
B. Use a Cloud SQL for PostgreSQL zonal instance first and Bigtable with US. Europe, and Asia after securing funding.
C. Use a Cloud SQL for PostgreSQL highly available instance first, and Bigtable with US. Europe, and Asiareplication alter securing funding
D. Use Cloud Spanner to configure a single region instance initially. and then configure multi-region C oud Spanner instances after securing funding.

Answer: D

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

NEW QUESTION # 154
You are using Google BigQuery as your data warehouse. Your users report that the following simple query is running very slowly, no matter when they run the query:
SELECT country, state, city FROM [myproject:mydataset.mytable] GROUP BY country You check the query plan for the query and see the following output in the Read section of Stage:1:

What is the most likely cause of the delay for this query?

A. The [myproject:mydataset.mytable] table has too many partitions
B. Users are running too many concurrent queries in the system
C. Either the state or the city columns in the [myproject:mydataset.mytable] table have too many NULL values
D. Most rows in the [myproject:mydataset.mytable] table have the same value in the country column, causing data skew

Answer: B

NEW QUESTION # 155
Data Analysts in your company have the Cloud IAM Owner role assigned to them in their projects to allow them to work with multiple GCP products in their projects. Your organization requires that all BigQuery data access logs be retained for 6 months. You need to ensure that only audit personnel in your company can access the data access logs for all projects. What should you do?

A. Export the data access logs via an aggregated export sink to a Cloud Storage bucket in a newly created project for audit logs. Restrict access to the project that contains the exported logs.
B. Enable data access logs in each Data Analyst's project. Restrict access to Stackdriver Logging via Cloud IAM roles.
C. Export the data access logs via a project-level export sink to a Cloud Storage bucket in a newly created projects for audit logs. Restrict access to the project with the exported logs.
D. Export the data access logs via a project-level export sink to a Cloud Storage bucket in the Data Analysts' projects. Restrict access to the Cloud Storage bucket.

Answer: A

NEW QUESTION # 156
You create an important report for your large team in Google Data Studio 360. The report uses Google BigQuery as its data source. You notice that visualizations are not showing data that is less than 1 hour old. What should you do?

A. Clear your browser history for the past hour then reload the tab showing the virtualizations.
B. Disable caching in BigQuery by editing table details.
C. Disable caching by editing the report settings.
D. Refresh your browser tab showing the visualizations.

Answer: C

Explanation:
https://support.google.com/datastudio/answer/7020039?hl=en

NEW QUESTION # 157
You want to use a database of information about tissue samples to classify future tissue samples as either normal or mutated. You are evaluating an unsupervised anomaly detection method for classifying the tissue samples. Which two characteristic support this method? (Choose two.)

A. There are roughly equal occurrences of both normal and mutated samples in the database.
B. You already have labels for which samples are mutated and which are normal in the database.
C. You expect future mutations to have similar features to the mutated samples in the database.
D. There are very few occurrences of mutations relative to normal samples.
E. You expect future mutations to have different features from the mutated samples in the database.

Answer: A,E

NEW QUESTION # 158
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