AWS
Data Analytics
Data Analytics
DURATION :
1 Month
TIMING:
Daily Batches from - 7am to 9 pm
PER DAY:
2 hours per day - (Mon to Friday)
WEEKEND FULL TIME BATCHES:
(Saturday & Sunday) - 8 Hours per day (3 Weeks)
Getting certified in AWS certified Data Analytics - Specialty shows that you know how to use AWS data lakes and analytics services to understand data. The skill to describe how AWS data analysis services work together with collecting, storing, processing, and showing data.
This certificate is for people who desires to have knowledge and skills touse AWS services to create, protect, and manage analytics solutions.
Exam Info -
Data Analytics Exam
Exam Info
- Perquisites – None
- Exam Code – (DAS-C01)
- Exam Cost - $300
- Exam Duration – 3 Hours
- No of Qns – 65
- Passing Score – 750
- Validity – 3 Years
Skill Outcome -
What Skills Do I Gain ?
You Will Be Able To !
- Determine the appropriate storage services
- Determine how to transform and filter data
- Evaluate data loss reason within tolerance limits
- Evaluate costs associated with data acquisition
- Identify latency characteristics
- Explain throughput capability & identify bottlenecks
- Implement at-rest & in-transit encryption
- Apply different encryption approaches
- Implement appropriate authorization methods
- Evaluate and compare analysis solutions
- Implement appropriate controls to meet compliance
- Apply basic principles of key rotation
- Understand the capabilities of visualization tools
- Deploy logging and monitoring solutions
- Implement failover & replication mechanisms
Download Syllabus -
Data Analytics Syllabus
Exam Topics
Exam Code – (DAS-C01)
- Collection
- Storage and Data Management
- Processing
- Analysis and Visualization
- Security
Trainer Profile -
Trainer
Certifications
CCCC (Dddd), CCCC (Dddd)
Company
Profile
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Pricing -
AWS Data Analytics Price
Bank Details
Bank of Baroda (Botswana) Ltd.
Branch - Nokia Circle
Branch Code – 11 03 67
Swift Code - BARBBWGXXXX
USD Account No
5231100005398
Pula Account No
5230200005009
Faqs -
Data Analytics Faq
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Data Analytics Faq
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Data Analytics Faq
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