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Is proposed for people who perform complex Big Data examinations within any event two years of experience utilizing AWS innovation.
Another variant of the AWS Certified Big Data – Specialty test will be accessible in April 2020 with another name, AWS Certified Data Analytics – Specialty. Find out additional.
Execute center AWS Big Data administrations as indicated by fundamental design best practices
Plan and keep up Big Data. Influence instruments to computerize information study .
We suggest up-and-comers hold an AWS Certified Cloud Practitioner or a current Associate-level confirmation: AWS Certified Solutions Architect - Associate, AWS Certified Developer - Associate or AWS Certified SysOps Administrator - Associate
Foundation in characterizing and architecting AWS Big Data administrations with the capacity to clarify how they fit in the information life pattern of assortment, ingestion, stockpiling, handling, and representation.
AWS Certified Big Data – Specialty (BDS-C00) test is expected for people who perform complex Big Data investigations. This test approves an examinee's specialized aptitudes and involvement with structuring and actualizing AWS administrations to get an incentive from the information. Applicants taking AWS Big information Specialty test are prescribed to have least of 2 years' experience utilizing AWS innovation, AWS Security best practices, Independently characterize AWS engineering and benefits and see how they coordinate with one another and Characterize and designer AWS large information benefits and clarify how they fit in the information lifecycle of assortment, ingestion, stockpiling, handling, and representation.
AWS Certified Big Data - Specialty Exam covers the following topics -
• Domain 1: Collection 17%
• Domain 2: Storage 17%
• Domain 3: Processing 17%
• Domain 4: Analysis 17%
• Domain 5: Visualization 12%
• Domain 6: Data Security 20%
Exam Name AWS Certified Big Data – Specialty |
Exam Code BDS-C00 |
Exam Duration 170 Minutes |
Exam Format Multiple Choice and Multi-Response Questions |
Exam Type Specialty |
Number of Questions 65 Questions |
Passing Score 75%-80% |
Exam Fee $300 |
Exam Language English, Japanese, Korean, and Simplified Chinese |
Validity 3 years |
A Redshift data warehouse has different user teams that need to query the same table with very different query types. These user teams are experiencing poor performance. Which action improves performance for the user teams in this situation?
A. Create custom table views
B. Add interleaved sort keys per team
C. Maintain team-specific copies of the table
D. Add support for workload management queue hopping
ANSWER : B
What does Amazon EBS stand for?
A. Elastic Block Storage
B. Elastic Business Server
C. Elastic Blade Server
D. Elastic Block Store
ANSWER : D
Which data store should the organization choose?
A. Amazon Relational Database Service (RDS)
B. Amazon Redshift
C. Amazon DynamoDB
D. Amazon Elasticsearch
ANSWER : C
How should an Administrator BEST architect a large multi-layer Long Short-Term Memory (LSTM) recurrent neural network (RNN) running with MXNET on Amazon EC2? (Choose two.)
A. Use data parallelism to partition the workload over multiple devices and balance the workload within the GPUs.
B. Use compute-optimized EC2 instances with an attached elastic GPU.
C. Use general purpose GPU computing instances such as G3 and P3.
D. Use processing parallelism to partition the workload over multiple storage devices and balance the workload within the GPUs.
ANSWER : A,C
A city has been collecting data on its public bicycle share program for the past three years. The SPB dataset currently on Amazon S3. The data contains the following data points: • Bicycle organization points • Bicycle destination points • Mileage between the points • Number of bicycle slots available at the station (which is variable based on the station location) • Number of slots available and taken at each station at a given time The program has received additional funds to increase the number of bicycle stations, available. All data is regularly archived to Amazon Glacier. The new bicycle station must be located to provide the most riders access to bicycles. How should this task be performed?
A. Move the data from Amazon S3 into Amazon EBS-backed volumes and EC2 Hardoop with spot instances to run a Spark job that performs a stochastic gradient descent optimization.
B. Use the Amazon Redshift COPY command to move the data from Amazon S3 into RedShift and platform a SQL query that outputs the most popular bicycle stations.
C. Persist the data on Amazon S3 and use a transits EMR cluster with spot instances to run a Spark streaming job that will move the data into Amazon Kinesis.
D. Keep the data on Amazon S3 and use an Amazon EMR based Hadoop cluster with spot insistences to run a spark job that perform a stochastic gradient descent optimization over EMBFS.
ANSWER : D
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