☑ AWS Big Data Speciality
Included in this AWS Big Data Speciality Exam Practice Tests course:
- 3 practice tests
- Practice like the as similar real AWS Big Data Speciality Questions
AWS Big Data Speciality Exam Exam Details
Total Questions :232
Type of Questions : Multiple choice
Duration : 200 min for 80 questions
Passing Score : 70
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Data Security 20%
Kinesis Firehose and Kinesis Stream
Amazon S3 is storage for internet
Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many fields (columns) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. The analysis of big data presents challenges in sampling, and thus previously allowing for only observations and sampling. Therefore, big data often includes data with sizes that exceed the capacity of traditional software to process within an acceptable time and value.