This course includes
- 3 full fledged timed tests
- 95 Latest exam questions
- Detailed explanations to answers
- Reference links to documentation
- Practice and Exam Modes
- Unlimited detailed test reports
- Access on mobile and Tablet
AWS MLA-C01 certification overview
The AWS Certified Machine Learning Engineer - Associate (MLA-C01) certification is designed to validate the technical ability to implement and operationalize machine learning (ML) workloads in production environments using AWS services. This certification aims to boost the career profile and credibility of professionals, positioning them for high-demand job roles in the machine learning field.
Intended Audience
The ideal candidates for this certification are individuals who have at least one year of hands-on experience with Amazon SageMaker and other ML engineering services offered by AWS. The certification is particularly suited for those currently working as backend software developers, DevOps engineers, data engineers, MLOps engineers, and data scientists.
Exam Topics
The AWS Certified Machine Learning Engineer Associate Exam MLA-C01 covers a comprehensive range of topics, including:
- Data Preparation for ML Models: Techniques and best practices for preparing data for machine learning models.
- Feature Engineering: Methods for creating effective features to improve model performance.
- Model Training: Strategies for training machine learning models efficiently and effectively.
- Model Performance and Metrics: Evaluating and improving the performance of ML models using appropriate metrics.
- Model Integration and Deployment: Best practices for integrating and deploying machine learning models into production environments.
- Performance and Cost Optimization: Optimizing the performance and cost-efficiency of ML workloads.
- Security: Ensuring the security of ML models and data throughout the ML lifecycle.
Key Benefits
The AWS Certified Machine Learning Engineer - Associate (MLA-C01) certification offers significant career benefits, including enhanced job prospects, increased credibility, and recognition in the industry. With the growing demand for AI and Machine Learning Specialists—projected to rise by 40% according to the World Economic Forum Future of Jobs Report 2023—this certification positions you favorably for high-demand roles such as ML engineer, MLOps engineer, data scientist, and more. It validates your expertise in implementing and operationalizing machine learning workloads on AWS, making you a valuable asset to employers facing challenges in filling these specialized positions.
Prior to attempting the official AWS MLA-C01 exam, it's recommended to undertake this practice test course.
Try an MLA-C01 practice test for FREE
- Practice Test #1 15 questions Free
- Practice Test #2 40 questions
- Practice Test #3 40 questions
Benefits of taking the AWS MLA-C01 Practice Tests
The MLA-C01 exam is a paid certification which costs USD 150 (USD 75 for BETA). Re-taking the exam will attract the same exam fee again. Therefore, it is important to prepare well and ace the certification in the very first attempt.
Here are some benefits of taking our practice test course:
- Understanding the exam format: Practice tests will familiarize you with the exam format, helping you understand the types of questions that may be asked on the official exam.
- Identifying Knowledge Gaps: Practice tests will help identify areas of weakness that need further study before taking the actual exam. We provide detailed test report for each test taken. With the help of the reports you will be able to analyse which areas of the exam you are strong in, and which areas need improvement.
- Time Management: Effective time management during the exam is crucial to ensure you address all questions within the allotted timeframe. That you do not run out of time and leave questions unanswered. Our practice tests mirror the official exam's timing to help you prepare accordingly.
- Reducing Exam Anxiety: By taking practice tests, you can reduce anxiety and build confidence for the actual exam. You may take our tests as many times you want. There ins't any limit.
- Improving Speed and Accuracy: Regular practice will help you improve the speed and accuracy of answering questions, which is crucial for timed exams.
- Simulating Real Exam Conditions: Our practice tests simulate the conditions of the actual exam, helping you adapt to the pressure. Our tests have roughly the same number of questions as that asked on the official exam. Plus, the time to complete the exam is also matched so that you can practice in an environment similar to the official exam.
- Tracking Progress: Repeatedly taking our tests allows you to monitor your progress and see improvements over time, bolstering your confidence. Achieving consistent success in our practice tests indicates that you're well-prepared and increases your chances of passing in the official exam on your first try.
- Increasing Chance of Passing: Regular practice with our tests can significantly increase your chances of passing the actual exam.
Why choose us for your AWS MLA-C01 Exam Preparation
We understand that passing the exam in the first attempt is very important. Therefore, you should consider us for the following reasons:
- Up-to-Date Content: Our courses are always current, with updates made within weeks of any official exam change, ensuring that you're studying the most relevant material on any given day of the year.
- Detailed Explanations: We provide not just correct answers, but also comprehensive explanations for each answer option. It is important to understand why an answer is correct, but it is also equally important to learn why other given options are incorrect. This approach ensures that you fully understand the question and the reasoning behind the correct and incorrect answers, rather than just memorizing responses.
- Supporting References: We supplement our answers with supporting links and screenshots from official documentation and the AWS portal, providing you with a rich and a contextual learning experience.
- Practice and Exam Modes: Our platform offers both practice and exam modes. The practice mode allows you to take tests without time pressure, while the exam mode simulates the actual exam environment, helping you manage time effectively and get accustomed to the exam format.
- Detailed Test Reports: After completing a test in exam mode, you receive a detailed report that provides an overview of your performance. This helps you understand where you stand in terms of your exam preparation.
- Active Learner Community: We foster an active learner community where users can post questions and comments, and receive responses within 24 hours. This collaborative environment helps clear doubts and enhances learning.
- Mobile-Friendly Access: Our web application is mobile-friendly, allowing you to access our tests on the go. This means you can continue your preparation even when you don't have access to a laptop or desktop.
How to pass the official AWS MLA-C01 exam in the first attempt?
Passing the official exam is not at all difficult. We have curated the most up-to-date exam prep material for you. You just need to keep the following things in mind, while preparing for the exam:
- Take the tests multiple times: There is absolutely no limit on the number of attempts you can take for each test. By taking each test multiple times you will surely improve your score each time. Once you are able to pass all the tests of the course, you will have gained confidence to take the official exam and ace it in the first attempt.
- Review each attempt's test report: Once you end your exam in the exam mode (timed one), you will get to see a test report. The report will list out all questions that were presented to you on that test. It will highlight questions that you answered correctly, incorrectly, and the ones that were unanswered if any. The test report will help you track your performance which is essential in the exam prep journey.
- Read the explanations throughly: The most important aspect of our tests are the detailed explanations given for each answer option. The detailed reasoning is provided not just for the correct answer choice but also for the incorrect ones. By going through the explanations you will not just understand why an answer is correct but also learn why other options are incorrect. In this process, you will be able to learn and retain important information pertaining to each question of the test. Each answer also has some reference links pointing to the official AWS documentation. Make sure you visit those links to get more insight on the context of the question asked. There are screenshots from the AWS portal and AWS documentation for a quick go thorough.
AWS MLA-C01 official exam details
As per the latest exam format, here are a few pointers that would be good to know before taking the official exam.
Category | Foundational | |
---|---|---|
Total number of questions asked | 85 | |
Total time allowed | 170 minutes | |
Type of questions |
|
|
Passing score |
720/1000 The results for the exam are reported as a scaled score of 100–1,000. The minimum passing score is 720. |
|
How exams are scored |
When answering most multi-part questions, you’ll receive one point for each correctly answered component. You can earn all, some, or none of the points possible for that question. If a question is worth more than one point, it will be noted in the question. Usually, you’ll receive one point for each correctly answered component. There’s no penalty for guessing. If you choose an incorrect answer, you simply won’t earn the point for that question or part. No points are deducted for incorrect answers. |
|
When to expect your score |
Most AWS Certification exams do not display your pass/fail result at the end of the test. Your detailed exam results will be available within five business days of completing your exam in your AWS Certification Account, under Exam History. If you pass your exam, you may receive your Credly digital badge email notification before your exam results are posted to your AWS Certification Account. |
|
Exam cost |
You need to pay USD 150 as the exam fee while scheduling the MLA-C01 exam. |
|
Exam mode |
The MLA-C01 exam can be taken at home/office (online proctored) or you may choose an Authorized center near you. These options are available at the time of scheduling the exam from the AWS website. |
Skills measured for MLA-C01 exam
The tests in this course are based on the following topics/domain, as per the official exam format.
- Domain 1: Data Preparation for Machine Learning (ML)
- Domain 2: ML Model Development
- Domain 3: Deployment and Orchestration of ML Workflows
- Domain 4: ML Solution Monitoring, Maintenance, and Security
Please visit the MLA C01 exam guide for the most up to date information.
Pre-requisites for taking the MLA-C01 exam
To take the AWS Certified Machine Learning Engineer - Associate (MLA-C01) exam, candidates should have at least one year of hands-on experience with Amazon SageMaker and other AWS machine learning services, as well as a solid understanding of key machine learning concepts such as data preparation, feature engineering, model training, evaluation, and deployment. This combination of practical experience and theoretical knowledge ensures candidates are well-equipped to implement and operationalize ML workloads on AWS effectively.
Frequently Asked Questions (FAQs)
The AWS Certified Machine Learning Engineer - Associate certification is ideal for professionals with at least one year of experience in machine learning engineering or a related field, along with hands-on experience using AWS services such as Amazon SageMaker. It is particularly suited for backend software developers, DevOps engineers, data engineers, MLOps engineers, and data scientists who want to validate their skills and knowledge in implementing and operationalizing machine learning workloads on AWS. Even those without prior machine learning experience can benefit from the training available in the Exam Prep Plans to build their expertise and pursue this certification.
The AWS Certified Machine Learning Engineer - Associate certification can significantly enhance your career by positioning you for high-demand machine learning roles within the AWS Cloud ecosystem. According to the World Economic Forum Future of Jobs Report 2023, the demand for AI and Machine Learning Specialists is expected to grow by 40%. Despite this, 70% of North American IT leaders report difficulty in filling AI/ML specialist positions. This certification validates your expertise and hands-on experience, making you a more attractive candidate for roles such as ML engineer, MLOps engineer, data scientist, and more, thereby boosting your career prospects and professional credibility.
The AWS Certified Machine Learning Engineer - Associate (MLA-C01) certification focuses on validating the technical ability to implement and operationalize machine learning workloads on AWS. It is designed for professionals with at least one year of experience using AWS services like Amazon SageMaker. This certification is ideal for ML engineers, MLOps engineers, and other related roles who are primarily involved in the engineering and deployment aspects of machine learning.
In contrast, the AWS Certified Machine Learning - Specialty certification is more comprehensive and covers a broader range of topics, including data engineering, data analysis, modeling, and ML implementation and operations. It is geared towards individuals with two or more years of experience developing, architecting, and running machine learning workloads on AWS. This specialty certification is suitable for professionals looking to demonstrate advanced expertise across the entire machine learning lifecycle.
AAfter earning the AWS Certified Machine Learning Engineer - Associate certification, professionals looking to deepen their expertise in machine learning should consider pursuing the AWS Certified Machine Learning - Specialty certification. This advanced certification covers a broader range of topics, including data engineering, data analysis, modeling, and ML implementation and operations, and is designed for individuals with more extensive experience in developing, architecting, and managing machine learning workloads on AWS. Earning this certification can further enhance your skills and position you for more specialized and senior roles in the machine learning field.
A beta exam is a pre-release version of a certification exam that AWS uses to gather statistical data and candidate feedback. This helps in validating the quality and fairness of the exam questions before the final version is officially released. Candidates who take the beta exam typically do so at a reduced cost and have the opportunity to contribute to the development of the certification. While beta exam results may take longer to be reported, passing the beta exam still earns the candidate the certification, providing early validation of their knowledge and skills.
Passing the MLA-C01 exam requires a combination of structured preparation, understanding the exam objectives, and utilizing available resources. Here are some steps and tips to help you pass the exam more easily:
- Understand the Exam Objectives: Familiarize yourself with the topics covered in the exam. AWS provides a detailed outline of the exam objectives on its official website. Knowing what to expect will help you focus your study efforts.
- AWS SkillBuilder: Use the Standard/Enhanced exam prep plan by AWS.
- CrackCerts Practice Exams: Taking our practice exams can be invaluable. They will help you get familiar with the type of questions you'll face and identify areas where you might need further study.
More practice test courses
AWS SAA-C03 Practice Tests
- 8 Tests
- 520 questions
AWS DVA-C02 Practice Tests
- 2 Tests
- 109 questions
AWS CLF-C02 Practice Tests
- 6 Tests
- 355 questions
AWS DEA-C01 Practice Tests
- 3 Tests
- 126 questions
AWS AIF-C01 Practice Tests
- 2 Tests
- 110 questions