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Explain the Techniques Involved in Working with Non-Relational Data on Microsoft Azure: 25-30%
- Explain Offerings of Non-Relational Data on Azure: The individuals need to have competence in explaining Azure Table storage, Azure File storage, Azure data service for non-relational workloads, Azure Blob Storage, and Azure Cosmos DB APIs.
- Explain Non-Relational Data Workloads: The candidates should be able to explain the attributes of non-relational data and types of NoSQL and non-relational data. They need to have expertise in recommending the appropriate data stores and establishing them to utilize non-relational data.
- Identify the Fundamental Management Functions for Non-Relational Data: The examinees should have competence in explaining deployment and provisioning of non-relational data and the techniques for deployment. They also need the skills in identifying the components of data security, fundamental connectivity issues, and non-relational data management tools.
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General Overview of Microsoft DP-900 Exam
The Microsoft DP-900 exam evaluates the individuals’ understanding of core data concepts, analytics workloads on Azure, as well as how to function with relational and non-relational data within Azure. The test contains 40-60 questions and the applicants have 90 minutes for the completion. The students or instructors who want to take this exam are required to schedule it through Certiport while the non-students are to schedule the test with Pearson VUE. The fee for the exam is $99 and it is available in a range of languages, including English, Spanish, French, Korean, German, Japanese, and Simplified Chinese.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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Microsoft DP-900 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Describe considerations for working with non-relational data on Azure | 15-20% | - Describe non-relational Azure data services
|
| Topic 2: Describe core data concepts | 25-30% | - Identify options for data storage
|
| Topic 3: Describe an analytics workload on Azure | 25-30% | - Describe data visualization in Microsoft Power BI
|
| Topic 4: Identify considerations for relational data on Azure | 20-25% | - Describe relational Azure data services
|
Microsoft Azure Data Fundamentals Sample Questions:
To complement the sentence, select the appropriate option in the answer area.
Correct Answer:


What is a characteristic of non-relational data?
- A. self-describing entities
- B. a well-defined schema
- C. no unique key values
- D. no indexes
Correct Answer: C 🗳️
Select the answer that correctly completes the sentence.
Correct Answer:


For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Correct Answer:


Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/high-availability
Match the Azure services to the appropriate locations in the architecture.
To answer, drag the appropriate service from the column on the left to its location on the right. Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Correct Answer:

Explanation:
Box Ingest: Azure Data Factory
You can build a data ingestion pipeline with Azure Data Factory (ADF).
Box Preprocess & model: Azure Synapse Analytics
Use Azure Synapse Analytics to preprocess data and deploy machine learning models.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-data-ingest-adf
https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/sqldw-walkthrough
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