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AWS Machine Learning Exam Prep vs AWS DAS-C01 Certification Exam Utilisation & Stats
Use this App to learn about Machine Learning on AWS and prepare for the AWS Machine Learning Specialty Certification MLS-C01.
Earning AWS Certified Machine Learning Specialty validates expertise in building, training, tuning, and deploying machine learning (ML) models on AWS.
The App provides hundreds of quizzes and practice exam about:
- Machine Learning Operation on AWS
- Modelling
- Data Engineering
- Computer Vision,
- Exploratory Data Analysis,
- ML implementation & Operations
- Machine Learning Basics Questions and Answers
- Machine Learning Advanced Questions and Answers
- Scorecard
- Countdown timer
- Machine Learning Cheat Sheets
- Machine Learning Interview Questions and Answers
- Machine Learning Latest News
The App covers Machine Learning Basics and Advanced topics including: NLP, Computer Vision, Python, linear regression, logistic regression, Sampling, dataset, statistical interaction, selection bias, non-Gaussian distribution, bias-variance trade-off, Normal Distribution, correlation and covariance, Point Estimates and Confidence Interval, A/B Testing, p-value, statistical power of sensitivity, over-fitting and under-fitting, regularization, Law of Large Numbers, Confounding Variables, Survivorship Bias, univariate, bivariate and multivariate, Resampling, ROC curve, TF/IDF vectorization, Cluster Sampling, etc.
Domain 1: Data Engineering
Create data repositories for machine learning.
Identify data sources (e.g., content and location, primary sources such as user data)
Determine storage mediums (e.g., DB, Data Lake, S3, EFS, EBS)
Identify and implement a data ingestion solution.
Data job styles/types (batch load, streaming)
Data ingestion pipelines (Batch-based ML workloads and streaming-based ML workloads), etc.
Domain 2: Exploratory Data Analysis
Sanitize and prepare data for modeling.
Perform feature engineering.
Analyze and visualize data for machine learning.
Domain 3: Modeling
Frame business problems as machine learning problems.
Select the appropriate model(s) for a given machine learning problem.
Train machine learning models.
Perform hyperparameter optimization.
Evaluate machine learning models.
Domain 4: Machine Learning Implementation and Operations
Build machine learning solutions for performance, availability, scalability, resiliency, and fault
tolerance.
Recommend and implement the appropriate machine learning services and features for a given
problem.
Apply basic AWS security practices to machine learning solutions.
Deploy and operationalize machine learning solutions.
Machine Learning Services covered:
Amazon Comprehend
AWS Deep Learning AMIs (DLAMI)
AWS DeepLens
Amazon Forecast
Amazon Fraud Detector
Amazon Lex
Amazon Polly
Amazon Rekognition
Amazon SageMaker
Amazon Textract
Amazon Transcribe
Amazon Translate
Other Services and topics covered are:
Ingestion/Collection
Processing/ETL
Data analysis/visualization
Model training
Model deployment/inference
Operational
AWS ML application services
Language relevant to ML (for example, Python, Java, Scala, R, SQL)
Notebooks and integrated development environments (IDEs),
S3, SageMaker, Kinesis, Lake Formation, Athena, Kibana, Redshift, Textract, EMR, Glue, SageMaker, CSV, JSON, IMG, parquet or databases, Amazon Athena
Amazon EC2, Amazon Elastic Container Registry (Amazon ECR), Amazon Elastic Container Service, Amazon Elastic Kubernetes Service , Amazon Redshift
Important: To succeed with the real exam, do not memorize the answers in this app. It is very important that you understand why a question is right or wrong and the concepts behind it by carefully reading the reference documents in the answers.
Note and disclaimer: We are not affiliated with Microsoft or Azure or Google or Amazon. The questions are put together based on the certification study guide and materials available online. The questions in this app should help you pass the exam but it is not guaranteed. We are not responsible for any exam you did not pass.
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***UPDATED MARCH 2022 - 578 REAL LIFE LIKE PRACTICE QUESTIONS!!!
GUARANTEED PASS if scored 90+ % on our tests OR your money back on the Premium Plan (Proof of transcript & registration details needed to match to get the money back refund). We are not affiliated with any Amazon.
FULL-LENGTH PRACTICE EXAMS: Test your exam readiness for the AWS Certified Data Analytics Specialty (DAS-C01) exam.
DETAILED EXPLANATIONS: Every question includes a clear and detailed explanation for all correct and incorrect answers.
PASS ON YOUR FIRST TRY: Repeat all the tests until you get 90% or more on each one and you should be able to ace the real exam with
This AWS Certified Data Analytics Specialty (DAS-C01) Practice Exam covers EVERYTHING you need to know to pass the exam on your first try.
Most of our users reported that our exams covered all questions that were on the actual test. We highly recommend reading the explanations provided after each practice test, not only for the correct choices, but also for the incorrect ones. This will help improve your understanding and increase your score dramatically. By paying attention to these and repeating all the tests until you get 90% or more on each one, you should be able to ace the real exam with confidence.
TONS OF FEATURES to make testing fun
*Bookmark questions from Review Page
*Multiple Retest Options - Generate test with same questions set, random questions set, wrong/skipped set
*Test statistics to track progress with cool charts
*Shows detail breakdown on each test attempt with percent improvement
*Pause and resume test functionality
*Show number of options selected and remaining (helpful for multiple choice questions)
*Trial Feature to activate and use all app functionality for limited duration
*Submit your own question that will be answered by our technical team
*Explanation Enhancement, Image shown in Questions, Randomize options, No internet bar when offline, Redesign Discuss and Go Premium, Trial Page Enhancements
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AWS Machine Learning Exam Prep VS.
AWS DAS-C01 Certification Exam
19écembre d, 2024