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Professional-Data-Engineer dumps questions answers

Google Professional-Data-Engineer Dumps

Exam Code:
Professional-Data-Engineer
Exam Name:
Google Professional Data Engineer Exam
Last Update: Feb 18, 2025
374 Questions with Explanation
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Google Professional Data Engineer Exam Practice Questions

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Professional-Data-Engineer FAQs

The Google Professional Data Engineer Exam is a certification test designed to validate your ability to design, build, operationalize, secure, and monitor data processing systems on Google Cloud Platform (GCP).

The Google Professional Data Engineer focuses on GCP services and data engineering practices within Google's ecosystem, while the AWS Certified Big Data – Specialty focuses on big data services and solutions on Amazon Web Services.

The Professional Data Engineer Exam focuses on data engineering tasks such as data processing, machine learning, and data pipelines, while the Associate Cloud Engineer Exam covers foundational skills in deploying and managing applications on GCP.

Google does not publish a specific passing score. Instead, the results are based on a scaled scoring system. Candidates should focus on thoroughly understanding the exam objectives.

The certification can enhance your professional credibility, demonstrate your expertise in data engineering on GCP, and make you a more competitive candidate for advanced data engineering roles.

With this certification, you can pursue roles such as Data Engineer, Data Architect, Machine Learning Engineer, and Big Data Engineer.

Salaries vary based on experience and location, but professionals with this certification can expect to earn between $100,000 and $150,000 per year, with potential for higher earnings in senior roles.

Long-term benefits include career advancement opportunities, higher earning potential, recognition as an expert in data engineering, and the ability to work on cutting-edge data projects.

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Google Professional Data Engineer Exam Questions and Answers

Questions 1

Your company uses a proprietary system to send inventory data every 6 hours to a data ingestion service in the cloud. Transmitted data includes a payload of several fields and the timestamp of the transmission. If there are any concerns about a transmission, the system re-transmits the data. How should you deduplicate the data most efficiency?

Options:

A.

Assign global unique identifiers (GUID) to each data entry.

B.

Compute the hash value of each data entry, and compare it with all historical data.

C.

Store each data entry as the primary key in a separate database and apply an index.

D.

Maintain a database table to store the hash value and other metadata for each data entry.

Questions 2

An external customer provides you with a daily dump of data from their database. The data flows into Google Cloud Storage GCS as comma-separated values (CSV) files. You want to analyze this data in Google BigQuery, but the data could have rows that are formatted incorrectly or corrupted. How should you build this pipeline?

Options:

A.

Use federated data sources, and check data in the SQL query.

B.

Enable BigQuery monitoring in Google Stackdriver and create an alert.

C.

Import the data into BigQuery using the gcloud CLI and set max_bad_records to 0.

D.

Run a Google Cloud Dataflow batch pipeline to import the data into BigQuery, and push errors to another dead-letter table for analysis.

Questions 3

Your company is in a highly regulated industry. One of your requirements is to ensure individual users have access only to the minimum amount of information required to do their jobs. You want to enforce this requirement with Google BigQuery. Which three approaches can you take? (Choose three.)

Options:

A.

Disable writes to certain tables.

B.

Restrict access to tables by role.

C.

Ensure that the data is encrypted at all times.

D.

Restrict BigQuery API access to approved users.

E.

Segregate data across multiple tables or databases.

F.

Use Google Stackdriver Audit Logging to determine policy violations.

What our customers are saying

China
Amanda
Oct 9, 2024

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Oct 6, 2024

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Aug 15, 2024

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