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Google Professional-Data-Engineer Dumps Questions Answers

Exam Code: Professional-Data-Engineer
Exam Name: Google Professional Data Engineer Exam
Last Update: May 27, 2024
330 Questions Answers with Explanation Detail
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Google Professional-Data-Engineer Last Week Results!

124

Candidates Passed
Google Professional-Data-Engineer

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86%

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Google Professional Data Engineer Exam Domains

Main Domains of the Google Cloud Certified - Professional Data Engineer Exam:

  • Designing data processing systems: This domain focuses on designing, building, and operationalizing data processing systems. It includes assessing, troubleshooting, and improving data representations and data processing infrastructure.
  • Building and operationalizing data processing systems: Candidates are tested on their ability to construct and maintain secure, scalable, and highly available data processing systems. Topics include using Google Cloud for computing and storage resources.
  • Operationalizing machine learning models: This covers deploying machine learning models, understanding the ML lifecycle, and integrating solutions with existing services.
  • Ensuring solution quality: Assessing the quality of machine learning models is crucial. This domain requires knowledge of verification processes, monitoring strategies, and continuous improvement methodologies for managing solution quality.

The significance of these domains lies in validating a professional's expertise in designing and implementing scalable data solutions on Google Cloud Platform.

Google Professional Data Engineer Exam Audience

Who Should Take the Google Professional Data Engineer Exam?

  • Aspiring Data Professionals: Individuals aiming to establish a career in data engineering should consider this certification to gain a competitive edge.
  • Experienced Data Practitioners: Those with practical experience in data processing, analysis, and machine learning can validate their skills.
  • Career Advancement Seekers: Professionals looking to progress within tech companies where data handling is crucial may find this exam beneficial.
  • Tech Industry Specialists: IT professionals in sectors like cloud services, big data analytics, or AI who want to demonstrate their expertise in Google Cloud technologies.
  • Skill Validation: The exam serves as proof of one's ability to design, build, operationalize, secure, and monitor data processing systems on Google Cloud Platform.
  • Format: Multiple choice and multiple select questions
  • Number of Questions: Approximately 50-60
  • Duration: 2 hours (120 minutes)
  • Delivery Method: Online proctored exam or test center

Google Professional Data Engineer Exam Prerequisites

Prerequisites for the Google Professional Data Engineer Exam

  • A basic understanding of cloud solutions and the Google Cloud Platform.
  • Experience with data processing and data storage technologies.
  • Familiarity with machine learning and its application in building models.
  • Ability to design, build, operationalize, secure, and monitor data processing systems.
  • Proficiency in writing software in one or more languages such as Python or Java.
  • If you don't pass the Google Professional Data Engineer exam on your first attempt, you must wait 14 days before retaking it.
  • After the second and any subsequent failed attempts, you must wait at least 60 days before attempting the exam again.
  • You're limited to taking the exam three times in one calendar year (365 days).
  • Each retake of the exam will incur a new examination fee, so budget accordingly for additional costs.

The Professional-Data-Engineer Google Cloud Certified certification is valid for two years from the date of certification. To maintain the certification after it expires, you must:

  1. Pass the recertification exam for the Professional Data Engineer certification before the end of the two-year period.
  2. Alternatively, if a new version of the exam is available, pass that exam to extend your certification's validity.

It's important to stay informed about any changes Google might make to its recertification policies or procedures.

For those preparing for the Google Professional Data Engineer Exam, Examstrack offers a range of study materials tailored to ensure comprehensive understanding and readiness. The resources provided by Examstrack are designed to cater to different learning styles:

  • Examstrack Study Guides: These PDF guides provide in-depth coverage of all exam topics, ensuring that candidates have a thorough grasp of the necessary knowledge.
  • Examstrack Professional-Data-Engineer Practice Question Banks: A compilation of questions and answers that simulate the actual exam environment, allowing candidates to test their knowledge and identify areas needing improvement.
  • Testing Engine: This tool offers a hands-on experience with practice exams under real exam conditions, enabling learners to build confidence and time management skills.

Purchasing these study materials from Examstrack can significantly aid students in mastering the curriculum and excelling in the Professional Data Engineer certification exam.

The recommended study time for the Professional-Data-Engineer exam can vary widely based on your existing knowledge and experience with Google Cloud Platform, as well as your learning speed. Here are some general guidelines:

  • If you're already familiar with GCP and data engineering concepts, aim for at least 40-60 hours of dedicated study.
  • For those new to the field or platform, consider setting aside 80-120 hours to grasp the material thoroughly.

It's crucial to assess your personal situation and adjust these estimates accordingly. Spread out your study sessions to avoid burnout, and ensure you have ample time for practice tests and review.

  • Structured Learning: The material is organized to provide clear learning objectives, ensuring focused study sessions and efficient progression through the exam topics.
  • Quality Content: Multiple choice questions and answers are curated to reflect the actual exam format, aiding in familiarization with the types of questions that will be encountered.
  • Time Management: Efficiently designed materials allow for effective time utilization, helping candidates prepare thoroughly without unnecessary time expenditure.
  • Free Demos: Access to free demos enables candidates to try before they buy, ensuring the material meets their study needs and standards.
  • Success Assurance: A promise of success on certification exams builds confidence and provides an extra layer of trust in the ExamTrack preparation process.

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Professional-Data-Engineer Overview

Section Description
Exam Name Google Professional Data Engineer Exam
Recommended Experience 1+ years of experience with designing, building, and managing data processing systems
Assessed Skills
  • Designing data processing systems for scalability, reliability, and maintainability
  • Building and operationalizing data pipelines using Google Cloud Platform (GCP) services
  • Ingesting, transforming, and preparing data for analysis
  • Working with data storage solutions on GCP (Cloud Storage, BigQuery, etc.)
  • Ensuring data quality and security
Exam Format Multiple choice and potentially multiple select questions
Exam Length 2 hours
Number of Questions (approximate) 50 (based on practice test information)
Pass Score Not publicly available (but scoring well on practice exams suggests readiness)

Professional-Data-Engineer Q&A's Detail

Exam Code:
Professional-Data-Engineer
Total Questions:
330 Q&A's
Single Choice Questions:
300 Q&A's
Multiple Choice Questions:
30 Q&A's

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