Amazon MLS-C01 : AWS Certified Machine Learning Specialty (MLS-C01) Exam

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Exam Number : MLS-C01
Exam Name : AWS Certified Machine Learning Specialty (MLS-C01)
Vendor Name : Amazon
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MLS-C01 exam Format | MLS-C01 Course Contents | MLS-C01 Course Outline | MLS-C01 exam Syllabus | MLS-C01 exam Objectives


Format : Multiple choice, multiple answer
Type : Specialty
Delivery Method : Testing center or online proctored exam
Time : 170 minutes to complete the exam

Introduction
The AWS Certified Machine Learning - Specialty (MLS-C01) examination is intended for individuals who perform a development or data science role. This exam validates an examinees ability to build, train, tune, and deploy machine learning (ML) models using the AWS Cloud.
It validates an examinees ability to design, implement, deploy, and maintain ML solutions for given business problems. It will validate the candidates ability to:
=> Select and justify the appropriate ML approach for a given business problem.
=> Identify appropriate AWS services to implement ML solutions.
=> Design and implement scalable, cost-optimized, reliable, and secure ML solutions

Expectations;
- 1-2 years of experience developing, architecting, or running ML/deep learning workloads on the AWS Cloud
- The ability to express the intuition behind basic ML algorithms
- Experience performing basic hyperparameter optimization
- Experience with ML and deep learning frameworks
- The ability to follow model-training best practices
- The ability to follow deployment and operational best practices

Exam Content
There are two types of questions on the examination:
=> Multiple choice: Has one correct response and three incorrect responses (distractors).
=> Multiple response: Has two or more correct responses out of five or more options.
Select one or more responses that best complete the statement or answer the question. Distractors, or incorrect answers, are response options that an examinee with incomplete knowledge or skill would likely choose. However, they are generally plausible responses that fit in the content area defined by the test objective.
Unanswered questions are scored as incorrect; there is no penalty for guessing.

Unscored Content
Your examination may include unscored items that are placed on the test to gather statistical information. These items are not identified on the form and do not affect your score.

Exam Results
The AWS Certified Machine Learning - Specialty (MLS-C01) examination is a pass or fail exam. The examination is scored against a minimum standard established by AWS professionals who are guided by certification industry best practices and guidelines.
Your results for the examination are reported as a score from 100–1,000, with a minimum passing score of 750. Your score shows how you performed on the examination as a whole and whether or not you passed. Scaled scoring models are used to equate scores across multiple exam forms that may have slightly different difficulty levels.

Domain 1: Data Engineering 20%
Domain 2: Exploratory Data Analysis 24%
Domain 3: Modeling 36%
Domain 4: Machine Learning Implementation and Operations 20%
TOTAL 100%

Domain 1: Data Engineering
1.1 Create data repositories for machine learning.
1.2 Identify and implement a data-ingestion solution.
1.3 Identify and implement a data-transformation solution.

Domain 2: Exploratory Data Analysis
2.1 Sanitize and prepare data for modeling.
2.2 Perform feature engineering.
2.3 Analyze and visualize data for machine learning.

Domain 3: Modeling
3.1 Frame business problems as machine learning problems.
3.2 Select the appropriate model(s) for a given machine learning problem.
3.3 Train machine learning models.
3.4 Perform hyperparameter optimization.
3.5 Evaluate machine learning models.

Domain 4: Machine Learning Implementation and Operations
4.1 Build machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance.
4.2 Recommend and implement the appropriate machine learning services and features for a given problem.
4.3 Apply basic AWS security practices to machine learning solutions.
4.4 Deploy and operationalize machine learning solutions.



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Amazon's New health and wellbeing software aims to steer clear of employee accidents | MLS-C01 PDF Questions and actual Questions

(image by way of Amazon)

Amazon this week launched WorkingWell, a new application to stay away from accidents, deliver wellness features, and offer healthcare to employees.

The "complete" components—part of Amazon's investment of greater than $300 million in security tasks—gives personnel with actual and intellectual activities, exercises, and fit consuming assist. a 3-pronged approach combines education and exercises, health and wellness capabilities, and expertise to teach and condition employees.

individuals are encouraged to accumulate in (socially distanced) health & security Huddles to watch interactive video clips on themes like gripping and handling, pushing and pulling, nutrition, and greater. And when someone should stop and stretch their lower back or legs, they can stop by a committed well being Zone or practice mindfulness by means of an interactive AmaZen kiosk. Feeling burnt out? consult with the particular person pods for guided meditations, wonderful affirmations, calming scenes with sounds, and so on.

Amazon WorkingWellimage via Amazon

"Amazon takes our safety very severely, and my managers have made it clear to me or not it's extra critical than anything else, even productivity and nice," Jeffrey Ku, operations employee at an Amazon achievement core in Aurora, Colo., pointed out in a statement. "WorkingWell is an extension of that—it makes bound we're taking care of our minds and bodies. It encourages us to make tremendous alterations to how we work, and on account that I started staring at the program's health and safety videos, I've incorporated a stretching pursuits into my day."

The enterprise additionally substances in-apartment clinical personnel and athletic trainers, in addition to fit snacks and signage, and the promise of low in cost healthcare within 10 miles of their home or place of work (at present obtainable in 17 sites throughout five US cities). In partnership with Crossover fitness, people can get prescription remedy, vaccinations, mental or physical remedy, health teaching, distinctiveness referral functions, and identical-day pediatric care.

Amazon WorkingWellphoto by the use of Amazon

A WorkingWell mobile app, meanwhile, will quickly provide at-home access to lots of the business's onsite choices. employees can faucet into a digital library of proactive wellness behaviors like stretching and muscle healing, mindfulness workout routines, and physique mechanics coaching.

there may be a trap, even though: in line with PCMag sister web page Mashable, Amazon will no longer permit personnel further time to comprehensive WorkingWell activities, but will component of their participation (or lack thereof) when assessing overall efficiency. The e-commerce giant has been slated earlier than for enforcing strict productivity quotas and perilous to fire workers who do not meet them. Amazon didn't automatically respond to our request for remark.

Following a US pilot in 2019, WorkingWell now covers 859,000 personnel at 350 websites in North the us and Europe, with the goal of reducing recordable incident fees through 50% inside 4 years.




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