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Databricks Databricks-Certified-Professional-Data-Engineer Dumps Questions Answers

Exam Code: Databricks-Certified-Professional-Data-Engineer
Exam Name: Databricks Certified Data Engineer Professional Exam
Last Update: Jun 25, 2024
120 Questions Answers with Explanation Detail
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Format: Testing Engine
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Databricks Databricks-Certified-Professional-Data-Engineer Exam Dumps FAQs

Overview of the Databricks-Certified-Professional-Data-Engineer Exam

The Databricks-Certified-Professional-Data-Engineer exam is a professional certification designed for individuals who possess a strong foundation in data engineering and have hands-on experience with the Databricks platform. This certification aims to validate a candidate's skills and knowledge in applying data engineering principles using Databricks' tools and services.

Purpose of the Exam

This certification serves as a benchmark for professionals to demonstrate their expertise in data engineering on the Databricks platform. It is specifically tailored for:

  • Data engineers who design, build, integrate, and manage big data solutions.
  • Data architects responsible for developing and maintaining robust data pipelines.
  • Professionals looking to showcase their ability to work with Apache Spark and related technologies within the Databricks ecosystem.

Target Audience

The exam is intended for experienced data professionals who have a comprehensive understanding of both theoretical concepts and practical applications within the scope of data engineering tasks on Databricks.

Key Skills Assessed

Candidates are evaluated on various competencies that include but are not limited to:

  • Designing reliable, scalable, and performant data solutions using Databricks.
  • Applying best practices for building end-to-end streaming and batch processing pipelines.
  • Mastery over Apache Spark APIs for structured processing.
  • Implementing security measures to protect data at rest and in transit.
  • Tuning applications for optimal performance on the Databricks platform.
  • Leveraging knowledge of cloud storage solutions compatible with Databricks ecosystems such as AWS S3 or Azure Blob Storage.

Candidates seeking this certification should refer to official study guides provided by Databricks, which outline detailed exam objectives, recommended training courses, sample questions, and other preparation materials that adhere to current industry standards. Successfully passing this rigorous examination signifies an individual's capability to tackle complex data engineering challenges using the power of the Databricks platform.

Earning the Databricks-Certified-Professional-Data-Engineer certification can offer several career benefits, as it's a recognized credential in the field of data engineering and analytics. Here are some key advantages:

  1. Skill Validation: This certification validates your skills in using Databricks, including your knowledge of Apache Spark and your ability to apply engineering principles to data problems. This is particularly useful if you're looking to work in roles that require big data processing and analysis.

  2. Career Opportunities: Being certified can open doors to new job opportunities, especially in companies that use Databricks or Spark for their data processing needs. It can make your resume stand out to recruiters and hiring managers in the fields of data engineering, data science, and big data analytics.

  3. Higher Salary Potential: Certifications often lead to higher salaries as they demonstrate a certain level of expertise and commitment to the field. This can be especially true in competitive job markets or specialized roles.

  4. Professional Development: Preparing for the certification helps in professional growth. You'll learn new skills and deepen your existing knowledge, which can be applied to current and future projects.

  5. Networking Opportunities: Being a certified professional can also help in networking. You may gain access to a community of other certified professionals, which can be valuable for sharing knowledge and discovering new opportunities.

  6. Staying Current: The process of earning and maintaining a certification requires you to stay updated with the latest technologies and best practices in your field, ensuring that your skills remain relevant.

  7. Employer Recognition: Some employers specifically look for certified professionals as it ensures a certain level of competency and can be beneficial for the team and company's technical capability.

  8. Increased Credibility: In client-facing roles, having a certification can increase your credibility when proposing solutions or advising on data strategies.

  9. Personal Satisfaction: Achieving a certification can be a personal milestone, boosting your confidence and demonstrating your dedication to your career and continuous learning.

Databricks Certified Professional Data Engineer Exam Format

  • Exam Type: The exam consists of multiple-choice and multiple-select questions.
  • Number of Questions: There are 60 questions in total.
  • Duration: Candidates are given 120 minutes to complete the exam.
  • Passing Score: The minimum passing score is determined using a scaled scoring method, which may vary depending on the version of the exam and its difficulty level.
  • Languages: The exam is available in English only.
  • Delivery Method: It is delivered online as a proctored exam that can be taken from anywhere.
  • Syllabus Coverage: The exam assesses knowledge across various domains including data engineering principles, use of Databricks for complex data processing, and performance optimization techniques within Databricks environments.

Note: This information reflects the format as provided by Databricks' official certification resources. For the most current details, it's recommended to refer directly to the official Databricks certification webpage.

Databricks Certified Professional Data Engineer Exam Prerequisites

To sit for the Databricks-Certified-Professional-Data-Engineer exam, candidates are expected to meet certain prerequisites. These ensure that individuals have the necessary foundation and skills to understand the material covered in the certification exam.

  • Professional Experience: It is recommended that candidates have a solid understanding of data engineering concepts and experience working with data in a professional setting. This typically includes knowledge of ETL processes, data warehousing, and familiarity with cloud-based solutions.
  • Technical Knowledge: Aspirants should possess strong skills in Apache Spark™ and the Databricks platform. Proficiency in programming languages such as Python or Scala, which are commonly used with Spark, is also important.
  • Familiarity with SQL: Understanding of SQL is crucial since it's often used for data manipulation and querying within Spark applications.
  • Databricks Training Courses: While not mandatory, completing Databricks training courses related to data engineering on their platform can greatly enhance a candidate's readiness for the exam.
  • No Prior Certifications Required: There are no formal prior certifications required to take the Databricks-Certified-Professional-Data-Engineer exam. However, foundational knowledge equivalent to what is covered in associate-level certifications may be beneficial.

Please note that these prerequisites are guidelines provided by Databricks; they do not constitute strict requirements. Candidates who feel confident in their self-taught skills or alternative learning paths may also attempt the certification. It is essential to review the most current prerequisites on the official Databricks certification website before scheduling your exam.

The cost of the Databricks Certified Professional Data Engineer exam is subject to change, and it is important to verify the latest pricing through official Databricks certification resources or their website. As of my last update, the fee for this certification exam was typically around $200 USD. However, prices may vary by region and are subject to change without notice. When planning to take the Databricks-Certified-Professional-Data-Engineer exam, you should consider not only the base cost of the exam but also any additional expenses that might be associated with it:

  • Registration Fee: The initial cost for registering and taking the exam.
  • Study Materials: While optional, purchasing official study guides or materials can add to the total cost.
  • Retake Fees: If you do not pass the exam on your first attempt, there will likely be a fee for retaking the test. This fee can sometimes be lower than the original registration fee.

It's advisable to budget accordingly and include these potential costs when planning for your certification. Always check with Databricks' official certification page or contact their support for the most current information regarding exam fees and related costs.

Databricks-Certified-Professional-Data-Engineer certification is valid for two years from the date of certification. This is a common practice in the industry, as it ensures that professionals keep their skills and knowledge up-to-date, particularly in fast-evolving fields like data engineering and big data technologies.

After two years, certified individuals usually need to either retake the certification exam or fulfill certain continuing education requirements to renew their certification. It's important to check the specific renewal policies and requirements from Databricks, as they might update their policies or offer different pathways for maintaining the validity of the certification. Keeping up with the latest information from the Databricks certification program website or contacting them directly would provide the most current details.

Preparing for the Databricks-Certified-Professional-Data-Engineer exam can be a robust process, but with the right resources and strategies, you can increase your chances of success. Here is a comprehensive guide to help you efficiently prepare for the exam using

Understand the Exam Structure and Content

  • Start by familiarizing yourself with the structure of the exam. Knowing the types of questions and topics covered will help you focus your studies.

Create a Study Plan

  • Develop a study plan that schedules specific times for studying each topic. Allocate more time to areas where you feel less confident.

Utilize Resources

  • Purchase high-quality Databricks-Certified-Professional-Data-Engineer exam questions and answers from Their PDFs and Testing Engine contain real questions that reflect what you will encounter on the actual test.
  • Use their Testing Engine to simulate the exam environment, which will help reduce anxiety on test day and improve your time management skills.
  • Their comprehensive collection of resources ensures that you are studying relevant material closely aligned with the actual exam content.

Study Actively

  • Rather than passively reading through materials, engage with them. Take notes, make flashcards, or explain concepts aloud to reinforce learning.
  • Regularly review previous topics to ensure retention over time.

Practice Regularly

  • Solve practice questions from regularly to test your knowledge and identify areas needing improvement.
  • Analyze your practice test results to understand mistakes and learn from them.

Tips for Success:

  • Pace Yourself: Don’t cram all your studying into one session. Spread it out over several weeks or months for better retention.
  • Focused Practice: Target your weakest areas first, as improving these will likely yield significant gains in your overall score.
  • Mimic Test Conditions: When taking practice exams on's Testing Engine, do so under conditions similar to those expected on test day (e.g., timed sessions).
  • In-depth Understanding: Aim for depth rather than breadth in your studies. Understand concepts thoroughly instead of memorizing answers verbatim—this will help you tackle different types of questions during the actual exam.
  • Incorporate Breaks: Regular breaks during study sessions can prevent burnout and improve long-term retention of information.
  • Sleep Well: Ensure adequate rest before studying and especially before taking practice tests to maintain optimal cognitive function.

By following this guide and utilizing resources from, candidates can significantly enhance their preparation journey towards achieving certification as a Databricks-Certified Professional Data Engineer.

Recommended Study Time for the Databricks-Certified-Professional-Data-Engineer Exam

The optimal amount of study time for the Databricks-Certified-Professional-Data-Engineer exam can vary greatly among individuals. Factors such as your prior knowledge in data engineering concepts, familiarity with Databricks and related technologies, and your personal learning pace play a significant role in determining the necessary preparation time. However, as a general guideline:

  • If you are already well-acquainted with the material covered by the exam, a minimum of 40 to 60 hours of dedicated study may suffice.
  • For those with moderate experience, who may need a more thorough review, aim for approximately 80 to 120 hours.
  • Candidates starting with less background in the subject matter might require upwards of 120 to 160 hours.

The complexity of the exam's content necessitates a tailored approach to your study plan. It is crucial that you assess your individual situation and adjust these estimates accordingly. Here are some steps you can follow:

  1. Evaluate your current level of expertise and identify areas that need more focus.
  2. Create a structured study schedule that allocates time based on this self-assessment.
  3. Incorporate regular review sessions and practice exams into your routine to monitor progress.
  4. Adjust your study plan as needed based on performance in practice tests and grasp of the material.

Balancing thoroughness with efficiency is key; ensure that you give yourself enough time to understand concepts deeply but also set realistic deadlines to maintain momentum. Remember that quality trumps quantity when it comes to effective studying.

Choosing the right preparation materials for your Databricks-Certified-Professional-Data-Engineer exam is crucial to success. Here are several reasons why utilizing study material from a reputable source like ExamTrack can be beneficial:

  • High-Quality Braindumps: With ExamTrack, you gain access to high-quality braindumps that are meticulously compiled and regularly updated to reflect the latest exam content. This ensures that you are studying the most relevant and current material.
  • Up-to-Date Content: The study materials provided by ExamTrack are continuously updated in accordance with the latest exam requirements, which means you're learning based on the newest standards and practices in the field of data engineering.
  • PDF and Testing Engine: You'll have access to resources in various formats including PDFs for easy reading and a testing engine that simulates the real exam scenario. This helps familiarize you with the format and timing of the actual test, reducing anxiety on exam day.
  • Structured Learning: The material is organized in a way that promotes structured learning. Instead of random bits of information, you get a coherent curriculum designed to build your knowledge systematically from basic to advanced topics.
  • Expert Guidance: The study guides often include insights from experienced instructors who have compiled these materials based on their understanding of what is essential for the exam. Their guidance can help clarify complex concepts and offer strategies for effective studying.
  • Access to Real Questions and Answers: Having access to real exam questions and answers allows you to test your knowledge against what has been seen in previous exams. This direct exposure can significantly enhance your readiness by giving you practical experience with the types of questions asked.

By choosing such comprehensive preparation materials, candidates are better equipped with the knowledge, skills, and confidence required to excel in their Databricks-Certified-Professional-Data-Engineer certification exam.

To enroll in the Databricks-Certified-Professional-Data-Engineer exam course at, you can follow these steps:

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Please ensure that all information entered during checkout is accurate to avoid any issues with accessing your materials. Once enrolled, you will have access to study resources that can help prepare you for the Databricks-Certified-Professional-Data-Engineer exam.

To obtain a free trial of the Databricks-Certified-Professional-Data-Engineer exam material from ExamTrack, you can follow these steps:

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  4. Click on the free demo option, which may offer a preview of web-based online questions and a PDF demo.
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  6. Review the sample questions and content provided in the free trial.

Keep in mind that while ExamTrack offers dependable study guides, accessing a full set of materials may require purchase. The free trial is an excellent way to evaluate the quality and relevance of their resources before making an investment. Make sure to take advantage of any web-based online questions and downloadable PDFs that are available for free so you can assess how well they align with your learning style and preparation needs.

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Databricks-Certified-Professional-Data-Engineer Overview

Overview Details
Exam Name Databricks Certified Professional Data Engineer
Certification Earned Databricks Certified Professional Data Engineer
Target Audience Data engineers with 1+ years of experience performing advanced data engineering tasks using Databricks
Pre-requisites Databricks Certified Data Engineer Associate certification recommended
Number of Questions 60 multiple-choice and performance-based questions
Exam Length 120 minutes
Passing Score 70%
Exam Cost $300 USD
Delivery Format Proctored online or at a Pearson VUE testing center
Topics Covered

Databricks-Certified-Professional-Data-Engineer Q&A's Detail

Exam Code:
Total Questions:
120 Q&A's
Single Choice Questions:
120 Q&A's

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