AWS DASC01 Data Analytics Exam

Name: AWS DASC01 Data Analytics Exam
Author: Djamgatech Corp

Android app by Djamgatech Corp. Education · Djamgatech Corp

Store rating: Unknown
Store rating count: Unknown
Download price: Free to download
In-app purchases: Not listed in captured metadata
Version: 1.0
Listing last refreshed: 2026-09-17

Store description excerpt

Whether you are preparing for the AWS Data analytics DAS-C01 Exam, the AWS data analyst or Data Science Interview, or are just looking for a way to sharpen your skills, this AWS Data Analytics Specialty Certification Exam Preparation App is perfect for you! With 300+ questions and answers, a score card, cheat sheets, and a fun countdown timer, this app is very similar to the real exam. Don't let the interview jitters get to you- be prepared with this AWS Data Analytics Specialty Certification Exam Preparation App. It's the perfect way to study for that upcoming exam. And, if you're not planning on taking the exam but want to improve your skills- this is the app for you! Get ahead of the competition by being able to answer those difficult questions with confidence. So what are you waiting for? Download the AWS Data Analytics Specialty Certification Exam Preparation App now! AWS Data analytics DAS-C01 Exam Prep App: Guaranteed Success Features: - 300+ AWS Data analytics DAS-C01 Exam Questions and Answers - Data Science and Data Analytics Interview Questions and Detailed answers - Score card - Countdown timer - Show/Hide Answers - Data Science and Analytics Cheat Sheets Very Similar to real exam, Countdown timer, Score card, Show/Hide Answers, Cheat Sheets, FlashCards, Detailed Answers and References Access All Quiz Detailed Answers, Reference and Score Card Hundreds of Quiz and Brain Teasers for AWS Data analytics DAS-C01, Data Science, Machine Learning, Statistics and Probability Various Practice Exams covering Data Collection, Data Security, Data processing, Data Analysis, Data Visualization, Data Storage and Management, Data Lakes, S3, Lake Formation, Kinesis, Lake Formation, Athena, Kibana, Redshift, EMR, Glue, Kafka, Apache Spark, SQL, NoSQL, Python, DynamoDB, DocumentDB, 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, Data cleansing, ETL, etc.. Some concepts included in this Apps are: - Data Lake vs Data Warehouse - Transactional Data Ingestion - Streaming Data Ingestion - Event Driven Data Analytics - Data Lake Storage - Data Lake Architecture - Services are used in the processing layer of a data lake architecture - cost-effective storage option for your data lake - Data ingestion, cataloguing and preparation - Data Processing and Analytics - Building a Data Lake with AWS Lake Formation - Writing Queries and Tuning Performance for Amazon Redshift - Analyzing ad Visualizing the Data - Amazon Redshift and Amazon Redshift Spectrum If you're looking to take your data analy

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