Google Cloud Professional Data Engineer (PDE) Practice Exams

Last updated on February 9, 2024 5:42 pm


This course is a dedicated learning resource aimed at individuals preparing for the Google Cloud Professional Data Engineer certification exam or those expecting to sit for job interviews requiring extensive knowledge of the Google Cloud Platform (GCP). The course comprises a series of exhaustive practice exams that simulate the format and complexity of questions in the actual certification exam, thereby allowing learners to gauge their comprehension of GCP and experience conditions similar to the actual exam.

Each practice exam traverses a wide range of GCP topics, starting from foundational principles such as designing and building data processing systems and operationalizing machine learning models, to more intricate aspects like ensuring solution quality and managing data security and compliance. The questions are designed to probe both theoretical understanding and practical proficiency in engineering data solutions using GCP.

Upon completion of each exam, learners receive detailed explanations and solutions for every question, which enhances their learning journey and reinforces critical concepts. The course is designed for learners to attempt each exam multiple times, which facilitates progress tracking and identification of areas needing more focus.

The “Google Cloud Professional Data Engineer (PDE) Practice Exams” course is a vital tool for anyone gearing up for a GCP certification exam or a job interview. It efficiently pinpoints areas of strength and those that need further study. A robust understanding of GCP and data engineering principles is recommended for optimal learning outcomes.

Google Cloud Platform – Unleash the Potential of Cloud Innovation!

Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google, providing a robust and scalable infrastructure for building, deploying, and managing applications and services. It offers a wide range of cloud-based services, including computing, storage, networking, databases, machine learning, and analytics.

With Google Cloud Platform, businesses and developers can leverage the power of Google’s global infrastructure to build and run applications with high performance, reliability, and security. GCP provides a flexible and pay-as-you-go pricing model, enabling organizations to scale their resources up or down based on demand, optimizing cost efficiency.

GCP offers a comprehensive set of tools and services to support various application development and deployment needs. It provides infrastructure services like virtual machines, containers, and serverless computing, allowing developers to choose the most suitable environment for their applications.

Additionally, Google Cloud Platform incorporates advanced technologies such as BigQuery for big data analytics, AI and machine learning services through TensorFlow and AutoML, and extensive APIs for integrating with other Google services. GCP also provides tools for monitoring, logging, and managing applications, ensuring operational efficiency and reliability.

Furthermore, GCP emphasizes security and compliance, implementing robust measures to protect data and ensure regulatory compliance. It offers advanced security features, data encryption, identity management, and fine-grained access controls.

Overall, Google Cloud Platform empowers organizations to build scalable and innovative applications, leverage advanced data analytics and machine learning capabilities, and benefit from the reliable and secure infrastructure of Google’s global network.

About the Google Cloud Professional Data Engineer exam:

  • Length: 2 hours

  • Registration fee: $200 (plus tax where applicable)

  • Languages: English, Japanese

  • Format: 50-60 multiple choice and multiple select questions

  • Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.

  • Exam Delivery Method: the online-proctored exam from a remote location or the onsite-proctored exam at a testing center

The Professional Data Engineer exam assesses your ability to:

  • Designing data processing systems

  • Building and operationalizing data processing systems

  • Operationalizing machine learning models

  • Ensuring solution quality

Exam guide:

  • Designing data processing systems

    • Selecting the appropriate storage technologies

    • Designing data pipelines.

    • Designing a data processing solution

    • Migrating data warehousing and data processing

  • Building and operationalizing data processing systems

    • Building and operationalizing storage systems

    • Building and operationalizing pipelines

    • Building and operationalizing processing infrastructure

  • Operationalizing machine learning models

    • Leveraging pre-built ML models as a service

    • Deploying an ML pipeline

    • Choosing the appropriate training and serving infrastructure

    • Measuring, monitoring, and troubleshooting machine learning models.

  • Ensuring solution quality

    • Designing for security and compliance

    • Ensuring scalability and efficiency

    • Ensuring reliability and fidelity

    • Ensuring flexibility and portability

Is it possible to take the practice test more than once?

Certainly, you are allowed to attempt each practice test multiple times. Upon completion of the practice test, your final outcome will be displayed. With every attempt, the sequence of questions and answers will be randomized.

Is there a time restriction for the practice tests?

Indeed, each test comes with a time constraint of 120 seconds for each question.

What score is required?

The target achievement threshold for each practice test is to achieve at least 70% correct answers.

Do the questions have explanations?

Yes, all questions have explanations for each answer.

Am I granted access to my responses?

Absolutely, you have the opportunity to review all the answers you submitted and ascertain which ones were correct and which ones were not.

Are the questions updated regularly?

Indeed, the questions are routinely updated to ensure the best learning experience.

Additional Note: It is strongly recommended that you take these exams multiple times until you consistently score 90% or higher on each test. Take the challenge without hesitation and start your journey today. Good luck!

Who this course is for:

  • data engineers or professionals who are preparing for the Google Cloud Professional Data Engineer certification exam and want to assess their knowledge and readiness
  • data architects or database administrators who work with Google Cloud Platform (GCP) and want to validate their skills in data engineering and enhance their resume with a professional certification
  • big data engineers or developers who design and implement data processing systems using GCP and want to validate their expertise in data engineering on GCP
  • professionals working with large datasets, data pipelines, or data integration who want to understand the best practices and principles of data engineering on GCP
  • data analysts or data scientists who want to expand their skills to include data engineering and need to validate their proficiency in GCP-specific data engineering practices
  • recruiters or hiring managers who want to evaluate the skills and competency of job candidates applying for data engineering roles with a focus on GCP


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