Microsoft Azure Data Fundamentals
DP-900
Money Back Guarantee
98% Success Rate
Real Questions
1
Describe core data concepts 27.5%
1.1
Describe ways to represent data
3 subtopics1.1.1Describe features of structured data
1.1.2Describe features of semi-structured data
1.1.3Describe features of unstructured data
Learning Objectives
- Differentiate between structured, semi-structured, and unstructured data
- Identify appropriate storage solutions for each data type
1.2
Identify options for data storage
2 subtopics1.2.1Describe common formats for data files
1.2.2Describe types of databases
Learning Objectives
- Select appropriate file formats for different scenarios
- Choose the right database type for specific workloads
1.3
Describe common data workloads
2 subtopics1.3.1Describe features of transactional workloads
1.3.2Describe features of analytical workloads
Learning Objectives
- Distinguish between transactional and analytical workloads
- Identify appropriate Azure services for each workload type
1.4
Identify roles and responsibilities for data workloads
3 subtopics1.4.1Describe responsibilities for database administrators
1.4.2Describe responsibilities for data engineers
1.4.3Describe responsibilities for data analysts
Learning Objectives
- Understand different data professional roles
- Map responsibilities to appropriate Azure services
Domain Hands-on Skills
Identifying data typesSelecting storage solutionsUnderstanding workload patterns
Common Mistakes to Avoid
- Confusing OLTP with OLAP
- Misidentifying data types
- Incorrect role assignments
2
Identify considerations for relational data on Azure 22.5%
3
Describe considerations for working with non-relational data on Azure 17.5%
4