Google Cloud Professional Data Engineer - GCP - Exams - 2023

Google Cloud Professional Data Engineer - GCP - Exams

Are you ready to take the Google Cloud Professional Data Engineer Exam? Test yourself by answering 360 questions! This course is in the form of practice tests and consists of questions that may appear during the Google Cloud Professional Data Engineer exam.

Professional Data Engineers enable data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.

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

Can I take the practice test more than once?

You can take each practical test multiple times. After completing the practice test, your final result will be published. Each time you take the test, the order of questions and answers is randomized.

Do I have a time limit for practice tests?

Each test has a time limit - 120 seconds per question. This gives a total of 10 hours for questions in this course.

What result is required?

The required grade for each practice test is 70% correct answers.

Are the questions multiple choice?

In order to reflect the form of the interview as much as possible and to raise the level of difficulty, the questions are single and multiple choice.

Can I see my answers?

You can review all submitted responses and see which were correct and which were not.

Are the questions updated on a regular basis?

Yes.

Notes! I strongly encourage you to repeat these exams until you consistently achieve a score of 90% or higher on each exam. Do not hesitate and take the challenge today. Good luck!