Aspired to validate your skills with AWS Machine Learning Specialty certification? Follow this comprehensive guide for AWS Certified Machine Learning Specialty exam preparation and give your preparation a new edge.
Amazon Web Services is the present market leader in the cloud computing domain. Many organizations are jumping on the AWS bandwagon for deriving extensively promising benefits. Cost-effectiveness, flexibility, ease of use, and comprehensive support are the pillars for the popularity of AWS. As the popularity of AWS increased gradually, many companies started looking for AWS certified professionals.
AWS certified machine learning specialty certification is one of the many AWS certifications that are popular today. AWS provides certification for validating the skills and expertise of an individual in specific AWS tools, resources, and technologies. The following discussion would focus on AWS machine learning certification and the details about it. The aim of the following discussion is to support the preparation of candidates for clearing the certification exam. So, let’s start with our discussion!
Understanding AWS Machine Learning
First of all, the discussion should focus on a basic understanding of Amazon Machine Learning. A better impression of AWS ML can work wonders for AWS machine learning specialty certification preparation. Amazon machine learning is an AWS product that helps developers to identify patterns in end-user data through algorithms. The patterns could help in the development of mathematical models which are subsequently helpful in the development of predictive and responsive applications.
Since Amazon machine learning helps in the development of effective and profitable applications, the demand for AWS certified machine learning professionals is constantly rising. For example, machine learning tools can help in recognizing fraudulent changes in online payment or predict the items that will attract a particular user. Therefore, you can observe that professionals trained in Amazon machine learning tend to receive better job opportunities.
Overview of the AWS Machine Learning Certification Exam
Now, let us support our AWS machine learning specialty certification preparation with the details about the examination. The certification has the ‘specialty’ status among other AWS certification exams. Candidates have to appear for the examination at a testing center of their choice. The format of the questions in the certification exam involves multiple choice and multiple select questions. Candidates will have around 170 minutes for completing the examination.
AWS Certified Machine Learning – Specialty Exam Information
|Exam Name||AWS Certified Machine Learning – Specialty|
|Exam Pattern||Multiple Choice (with one correct answer out of given four or five options), Multiple Response (with two or more correct answers out of given five or more options)|
|Exam Duration||170 minutes|
|Number of Questions||Not Specified|
|Exam Fees||USD 300|
|Exam Languages||English, Japanese, Korean, and Simplified Chinese|
The cost of the registration fee for the machine learning specialty certification exam is 300 USD. The AWS machine learning specialty certification exam is available in four different languages. So, you can try out your AWS machine learning certification preparation in English, Korean, Simplified Chinese, and Japanese. The result of the exam involves a score from 100 to 1000, and the minimum passing score is 750. You can take a look at the exam overview in the following table.
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Domains Covered during AWS Machine Learning Certification Preparation
The next important concern in your AWS certified machine learning certification exam preparation is the exam blueprint. The exam objectives in the blueprint can help an individual identify the exact topics to focus on for the exam. In addition, a review of the exam blueprint can help candidates to follow a scheduled approach for their preparations. Also, the exam blueprint could help in finding out the weight of questions for each domain. Therefore, the exam blueprint serves as a prolific instrument for AWS machine learning certification preparation.
There are four domains in the AWS machine learning certification that are crucial for AWS certified machine learning certification exam preparation. An explanation of the individual domains can help in clarifying the subject areas which hold the maximum importance.
AWS Machine Learning Specialty Certification Blueprint
Exploratory Data Analysis
Machine Learning Implementation and Operations
Data Engineering – 20%
The first domain of the AWS certified machine learning specialty certification is data engineering. The domain of data engineering has a weight of 20% in the total questions of the examination. Candidates have to prepare for the domain of data engineering by reflecting on three essential sub-topics.
AWS certified machine learning specialty certification requires clear knowledge on the creation of data repositories for machine learning. Candidates will also have to cover skills for identifying and implementing a data-ingestion solution. In addition, candidates would also have to learn about identifying and implementing a data-transformation solution.
Exploratory Data Analysis – 24%
The next domain in the AWS certified machine learning specialty certification exam refers to exploratory data analysis. This domain is one of the formidable requirements for the machine learning specialty certification. Candidates will find around 24% of questions in the exam from this domain.
The first subtopic in this domain refers to sanitization and preparation of data for modeling. The next subtopic in this domain relates to the performance of feature engineering. Candidates will also have to learn data analysis and visualization for machine learning.
Modeling – 36%
The most important domain for the AWS certified machine learning specialty certification exam deals with modeling. Candidates should note that they can find around 36% of questions in the exam from this domain. Therefore, this domain should be under the attention of candidates. The first subtopic in modeling is framing business problems as machine learning issues.
Candidates would also have to cover skills for training machine learning models and performing hyperparameter optimization. Most important of all, candidates have to learn skills for choosing the appropriate models for a particular machine learning problem. In addition, you have to learn about evaluating machine learning models in this domain.
Machine Learning Implementation and Operations – 20%
The final domain also holds equal importance like other domains in the machine learning specialty certification exam. You will have to cover machine learning implementation and operations in this domain. Candidates will have to cover practical task-based questions in this domain and could not ignore its importance. You will learn about building machine learning solutions with performance, availability, fault tolerance, resiliency, and scalability.
Candidates will also need to learn the application of basic AWS security practices to machine learning solution. Candidates will also have to learn the deployment and operationalization of machine learning solutions. Most important of all, you will also have to learn about the recommendation and implementation of reliable machine learning services and features for a particular issue.
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Comprehensive Guide for AWS Certified Machine Learning Specialty Exam Preparation
Now, the primary aim of this discussion would be towards preparing effectively for the AWS machine learning specialty certification exam. The next section of the discussion outlines a preparation guide for the AWS Certified Machine Learning Specialty exam. This AWS Certified Machine Learning Specialty exam preparation guide would outline distinct steps that can help you prepare in the best way possible.
Get Basic machine learning training on AWS
First of all, you need to start your preparation by getting AWS machine learning training. The official training courses on AWS official website include over 30 digital machine learning courses. In addition, practical lab experience and supporting documentation can also help candidates improve their hands-on experience with Amazon machine learning. You can take a 3-day instructor-led live course for Big Data on AWS. In addition, you could also opt for the 1-day instructor-led live course for Deep Learning on AWS. You can also choose training by any other certification training provider for your preparation.
Go for AWS Documentation
The next important mention in this preparation guide for the AWS Certified Machine Learning Specialty exam is the AWS official documentation. AWS official documentation can help you learn the different sub-topics required for the machine learning specialty certification examination. You can find documentation related to amazon machine learning concepts, splitting data, types of machine learning models, and data transformations.
Some of the recommended documents for your preparation are:
- Amazon Machine Learning Concepts
- Machine Learning on AWS
- Types of Machine Learning Models
- Splitting Your Data
- Data Transformations
Apart from these documentations, you can go through various AWS Whitepapers related to Machine Learning and Deep Learning. It will clear your understanding of various concepts for your AWS Machine Learning Specialty certification preparation.
Join Study Groups and Learning Communities
Joining study groups and communities can help a candidate to improve their preparations. Study groups and communities have like-minded participants. So, you can interact with other candidates and find unique responses to some of your doubts. In addition, you can also serve a contributing role in the community. Furthermore, you would also get the opportunity to interact with subject matter experts and refine your preparation methods. Most important of all, you can find study partners for your preparation in these groups and forums.
The most crucial element of AWS machine learning specialty certification preparation is practice. Consistent practice is essential to make sure that you have mastered all the topics for the certification exam. Your preparation is not going to help you with the real exam if you haven’t practiced enough! Practice tests can help you estimate your performance in different topic areas of the examination. As a result, you can shift your attention towards your areas of weakness. Furthermore, participating in practice tests builds your confidence in appearing for the actual examination. Also, you can also be able to improve time management skills for the examination to get the best outcomes.
On a concluding note, we can clearly state that AWS machine learning certification is ideal for a promising career. AWS platform is responsible for drastic revolutions in the world of computing. Also, the demand for machine learning is also increasing constantly. Therefore, IT professionals can fetch superior career opportunities with an AWS certification in machine learning. The simple and straightforward distribution of the exam syllabus into four domains helps in simplifying the examination.
Candidates could focus on the exam blueprint for effective preparation by knowing the exact topic areas with maximum questions. The AWS Machine Learning Specialty certification preparation guide can work as the right piece of guidance for candidates aspiring for a career in AWS machine learning. So, follow this guide and get ahead towards a certified career in Machine Learning!
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