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Microsoft DP-420 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Maintain an Azure Cosmos DB solution	25-30%	- Implement backup and restore 1. Configure periodic backup 2. Perform point-in-time restore - DevOps and automation 1. Deploy via ARM, Bicep, CLI 2. Automate operations - Implement security 1. Encrypt data at rest and in transit 2. Manage authentication and authorization - Manage data movement 1. Migrate between APIs or regions 2. Import/export data - Monitor and troubleshoot 1. Analyze metrics and logs 2. Use Azure Monitor and Application Insights
Topic 2: Optimize an Azure Cosmos DB solution	15-20%	- Define and implement indexing strategy 1. Exclude or include properties 2. Select index types and paths - Optimize query performance 1. Tune query structure and syntax 2. Optimize throughput allocation - Work with change feed 1. Trigger downstream workflows 2. Process changes incrementally
Topic 3: Design and implement data models	35-40%	- Design partitioning strategy 1. Choose partition key based on workload 2. Plan for distribution and throughput - Design and implement non-relational data models 1. Denormalize data across documents 2. Define primary and unique keys 3. Store multiple entity types in one container 4. Embed related entities in documents 5. Reference between documents 6. Identify data and access patterns 7. Configure time-to-live (TTL) - Implement connectivity and data access 1. Write efficient SQL queries 2. Use SDKs to connect and operate - Plan sizing and scaling 1. Select consistency levels 2. Provision throughput and storage
Topic 4: Integrate an Azure Cosmos DB solution	5-10%	- Enable analytical workloads 1. Configure analytical store 2. Use Synapse Link - Integrate with Azure services 1. Use with Azure Functions, Logic Apps, Event Hubs 2. Connect to Azure Stream Analytics
Topic 5: Design and implement data distribution	5-10%	- Design replication strategy 1. Configure multi-region replication 2. Implement multi-region write - Manage data distribution and failover 1. Manage regional availability 2. Define failover priorities

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q73-Q78):

NEW QUESTION # 73
Drag and Drop Question
You have an Azure Cosmos DB container named owners. Each item in owners represents an owner and their pets.
The following is a sample of the JSON

You are writing a query that will retrieve the average age of each pet owned by each owner, if the pet is older than two years.
How should you complete the query? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 74
You have an app named App1 that uses an Azure Cosmos DB for NoSQL database.
App1 uses the spatial columns shown in the following table.

You need to design an indexing strategy for App1.
Which columns can be indexed by using spatial indexes?

A. Col1 only
B. Col1, Col2, and Col4 only
C. Col1, Col2, and Col3 only
D. Col1 and Col2 only

Answer: D

Explanation:
In Azure Cosmos DB for NoSQL, only the Point and LineString data types support spatial indexing. This allows for efficient querying of geospatial data, such as locations (points) and paths (lines). Other data types like Curve, MultiPolygon, and MultiCurve are not supported by spatial indexes in Cosmos DB.

NEW QUESTION # 75
You have an Azure Cosmos DB container named owners. Each item in owners represents an owner and their pets. The following is a sample of the JSON

You are writing a query that will retrieve the average age of each pet owned by each owner, il the pet is older than two years.
How should you complete the query? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes 01 scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 76
You have an Azure subscription that contains the resources shown in the following table.

You need to query Container1 from the serverless SQL pool of workspace1.
How should you complete the query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 77
You have an Apache Spark pool in Azure Synapse Analytics that runs the following Python code in a notebook.

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

Answer:

Explanation:

Explanation:
New and updated orders will be added to contoso-erp.orders: Yes
The code performs bulk data ingestion from contoso-app: No
Both contoso-app and contoso-erp have Analytics store enabled: Yes
The code uses the spark.readStream method to read data from a container named orders in a database named contoso-app. The data is then filtered by a condition and written to another container named orders in a database named contoso-erp using the spark.writeStream method. The write mode is set to "append", which means that new and updated orders will be added to the destination container 1 .
The code does not perform bulk data ingestion from contoso-app, but rather stream processing. Bulk data ingestion is a process of loading large amounts of data into a data store in batches. St ream processing is a process of continuously processing data as it arrives in real-time 2 .
Both contoso-app and contoso-erp have Analytics store enabled, because they are both accessed by Spark pools using the spark.cosmos.oltp method. This method requires that the containers h ave Analytics store enabled, which is a feature that allows Spa rk pools to query data stored in Azure Cosmos DB containers using SQL APIs 3 .

NEW QUESTION # 78
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