Google Cloud Certified - Professional Machine Learning Engineer is a certification program that validates an individual's expertise in designing, building, and deploying machine learning models on the Google Cloud Platform (GCP). The exam objectives include designing machine learning solutions, building and training models, analysing and interpreting models, deploying models, ensuring quality and reliability, and managing machine learning projects.
Length: 2 hours
Languages: English is the official language
Exam format: 50-60 multiple choice and multiple select questions are included in the exam format.
Fees: check here
Case studies: Each exam includes 2 case studies that describe fictitious business and solution concepts. Case study questions make up 20-30% of the exam and assess your ability to apply your knowledge to a realistic business situation. You can view the case studies on a split screen during the exam. See the Exam Guide for the 4 available case studies.
Exam Guide: click here
Exam delivery method:
2. Attend an onsite-proctored exam at a testing center; find a testing center near you
Prerequisites: None
Recommended experience: 3+ years of industry experience, including 1 or more years designing and managing solutions using Google Cloud, is preferred
Certification Renewal / Recertification: : In order to keep their certification status, candidates must recertify. All Google Cloud certifications are valid for two years from the date of certification, unless otherwise stated in the detailed exam descriptions. Recertification is obtained by retaking the exam during the recertification eligibility period and achieving a passing score.
salary – Machine Learning Engineer salary in India ranges between ₹ 3.0 Lakhs to ₹ 20.9 Lakhs with an average annual salary of ₹ 6.5 Lakhs.
Here are some frequently asked questions about the Google Cloud Certified – Professional Machine Learning Engineer certification:
Q1. What is the format of the exam?
Ans. The exam is a computer-based test that includes multiple-choice and scenario-based questions. The exam consists of two sections: a multiple-choice section and a practical section.
Q2. How long is the exam?
Ans.The exam is 4 hours long, and the passing score is 70%.
Q3. How much does the exam cost?
Ans. The exam fee is $200 USD per attempt.
Q4. What is the recommended experience level for this certification?
Ans. Google recommends that candidates have at least 3 years of experience in machine learning and 1 year of experience using Google Cloud Platform.
Q5. What resources are available to prepare for the exam?
Ans. Google offers a number of resources to help candidates prepare for the exam, including training courses, study guides, and practice exams. There are also many third-party resources available, such as books, blogs, and online courses.
Q6. How long is the certification valid for?
Ans. The certification is valid for 2 years. After 2 years, candidates will need to recertify to maintain their certification status.
Q7. What are the benefits of earning this certification?
Ans. Earning the Google Cloud Certified – Professional Machine Learning Engineer certification can provide a number of benefits, including recognition of expertise, career advancement, competitive advantage, enhanced credibility, access to exclusive resources, and personal and professional growth.
Q8. How does this certification differ from other machine learning certifications?
Ans. This certification focuses specifically on machine learning on the Google Cloud Platform, while other certifications may cover different platforms or more general machine learning concepts. Additionally, this certification requires practical skills and experience in addition to knowledge, as demonstrated in the practical section of the exam.
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