Technical Microsoft DP-900 Training - DP-900 Test Result

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Microsoft DP-900 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Identify considerations for relational data on Azure	20–25%	- Describe relational data concepts 1. Query data with SQL 2. Normalization 3. Relationships, keys, constraints - Describe Azure relational data services 1. Azure SQL Database 2. SQL Server on Azure Virtual Machines 3. Open-source databases: PostgreSQL, MySQL, MariaDB 4. Azure SQL Managed Instance
Topic 2: Describe considerations for working with non-relational data on Azure	15–20%	- Describe Azure Cosmos DB 1. Consistency levels and partitioning 2. APIs and data models 3. Capabilities and features - Describe Azure storage services 1. Queue Storage 2. Blob Storage 3. Table Storage 4. File Storage - Describe non-relational data concepts 1. Characteristics of NoSQL data 2. Use cases for non-relational data
Topic 3: Describe an analytics workload on Azure	25–30%	- Describe Azure analytics services 1. Azure Synapse Analytics 2. Azure Data Lake Storage Gen2 3. Microsoft Fabric 4. Azure HDInsight 5. Azure Databricks - Describe real-time analytics 1. Stream processing concepts 2. Azure Stream Analytics - Describe big data and analytics concepts 1. Modern data warehouse architecture 2. Data ingestion and processing 3. Data lakes and data warehouses - Describe data visualization 1. Power BI capabilities 2. Data models and reports
Topic 4: Describe core data concepts	25–30%	- Describe roles and responsibilities 1. Data engineer, data analyst, database administrator - Describe data workloads 1. Analytical workloads 2. Transactional workloads 3. Batch and streaming data - Describe types of data 1. Structured, semi-structured, and unstructured data 2. File formats

>> Technical Microsoft DP-900 Training <<

DP-900 Test Result - DP-900 New APP Simulations

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Microsoft Azure Data Fundamentals Sample Questions (Q121-Q126):

NEW QUESTION # 121
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Explanation:

Disadvantages of non-relational databases include: Data Consistency - non-relational databases do not perform ACID transactions.
Note: Relational databases are optimized for writes. They are optimized for consistency and availability.
Advantages of relational databases include simplicity, ease of data retrieval, data integrity, and flexibility.
Reference:
https://towardsdatascience.com/choosing-the-right-database-c45cd3a28f77

NEW QUESTION # 122
Select the answer that correctly completes the sentence.

Answer:

Explanation:

NEW QUESTION # 123
Select the answer that correctly completes the sentence.

Answer:

Explanation:
See the answer in explanation below.
Explanation
Answer below as:

NEW QUESTION # 124
Select the answer that correctly completes the sentence.

Answer:

Explanation:

NEW QUESTION # 125
Select the answer that correctly completes the sentence.

Answer:

Explanation:

NEW QUESTION # 126
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