Google Cloud Professional Data Engineer - GCP - Exams - 2023 | Free Udemy Course
Prepare for the exam as a Google Professional Data Engineer or for an interview! Jump into cloud computing! | Free Udemy Course
- hours of on-demand video
- Full lifetime access
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- 6 practice tests
Google Cloud Professional Data Engineer - GCP - ExamsAre 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 hoursRegistration fee: $200 (plus tax where applicable)Languages: English, JapaneseFormat: 50-60 multiple choice and multiple select questionsRecommended 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 centerThe Professional Data Engineer exam assesses your ability to:Designing data processing systemsBuilding and operationalizing data processing systemsOperationalizing machine learning modelsEnsuring solution qualityExam guide:Designing data processing systemsSelecting the appropriate storage technologiesDesigning data pipelines.Designing a data processing solutionMigrating data warehousing and data processingBuilding and operationalizing data processing systemsBuilding and operationalizing storage systemsBuilding and operationalizing pipelinesBuilding and operationalizing processing infrastructureOperationalizing machine learning modelsLeveraging pre-built ML models as a serviceDeploying an ML pipelineChoosing the appropriate training and serving infrastructureMeasuring, monitoring, and troubleshooting machine learning models.Ensuring solution qualityDesigning for security and complianceEnsuring scalability and efficiencyEnsuring reliability and fidelityEnsuring flexibility and portabilityCan 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!Who this course is for:everyone who wants to take the Google Cloud Professional Data Engineer exameveryone who wants to become a Google Cloud Professional Data Engineereveryone who wants to prepare for an interview with Google Cloudeveryone who wants to work with Google Cloud
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Prepare for the exam as a Google Professional Data Engineer or for an interview! Jump into cloud computing!