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Microsoft DP-420 Exam Syllabus Topics:

SectionWeightObjectives
Integrate an Azure Cosmos DB solution5-10%- Enable analytical workloads
  • 1. Write data back from Spark
  • 2. Configure Azure Cosmos DB Mirroring
  • 3. Enable analytical store
  • 4. Query analytical store from Synapse
- Implement solutions across services
  • 1. Aggregate and archive data
  • 2. Integrate Azure Functions and Event Hubs
  • 3. Implement Azure AI Search integration
  • 4. Enforce referential integrity
  • 5. Use Change Feed for denormalization
Optimize an Azure Cosmos DB solution15-20%- Define and implement indexing strategy
  • 1. Implement composite indexes
  • 2. Choose read-heavy or write-heavy indexing
  • 3. Choose appropriate index types
  • 4. Configure custom indexing policies
  • 5. Optimize index performance
- Optimize query performance
  • 1. Implement integrated cache
  • 2. Calculate query cost
  • 3. Adjust indexing policies
  • 4. Retrieve request unit cost
- Design and implement change feeds
  • 1. Consume change feeds using SDK
  • 2. Develop Azure Functions triggers
  • 3. Implement aggregation persistence
  • 4. Manage change feed instances
Maintain an Azure Cosmos DB solution25-30%- Monitor and troubleshoot Azure Cosmos DB solutions
  • 1. Monitor metrics and logs
  • 2. Implement backup and recovery strategies
  • 3. Troubleshoot throughput issues
  • 4. Monitor performance and availability
Design and implement data models35-40%- Implement server-side programming
  • 1. Implement user-defined functions
  • 2. Write and deploy stored procedures
  • 3. Implement triggers
- Implement client connectivity options
  • 1. Configure client-side threading and logging
  • 2. Use Azure Cosmos DB emulator
  • 3. Handle connection errors
  • 4. Create database connections
  • 5. Choose gateway or direct connectivity mode
  • 6. Implement singleton client
- Plan and implement sizing and scaling
  • 1. Evaluate global distribution costs
  • 2. Evaluate throughput and storage requirements
  • 3. Configure throughput
  • 4. Design resource governance and scaling
  • 5. Choose between serverless, provisioned, and free tier
- Design and implement a non-relational data model for Azure Cosmos DB for NoSQL
  • 1. Identify partition key, id, and unique keys
  • 2. Denormalize data across documents
  • 3. Reference between documents
  • 4. Identify data and associated access patterns
  • 5. Store multiple related entities in the same document
  • 6. Store multiple entity types in the same container
- Design a data partitioning strategy
  • 1. Choose a partitioning strategy
  • 2. Evaluate throughput and data distribution
  • 3. Plan for transactions with partition keys
  • 4. Evaluate cross-partition query cost
  • 5. Implement synthetic partition keys
  • 6. Choose a partition key
- Implement data access
  • 1. Use SDKs for CRUD operations
  • 2. Implement optimistic concurrency control
  • 3. Use consistency and query request options
  • 4. Manage transactional batch operations
  • 5. Implement SQL queries with arrays and aggregation
  • 6. Implement patch operations
Design and implement data distribution5-10%- Design and implement multi-region writes
  • 1. Implement conflict resolution policies
  • 2. Choose when to use multi-region writes
  • 3. Implement multi-region writes
- Design and implement replication strategy
  • 1. Define automatic failover policies
  • 2. Evaluate consistency model impacts
  • 3. Choose a consistency model
  • 4. Perform manual failovers
  • 5. Choose when to distribute data

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q204-Q209):

NEW QUESTION # 204
You have three containers in an Azure Cosmos DB Core (SQL) API account as shown in the following table.

You have the following Azure functions:
A function named Fn1 that reads the change feed of cn1
A function named Fn2 that reads the change feed of cn2
A function named Fn3 that reads the change feed of cn3
You perform the following actions:
Delete an item named item1 from cn1.
Update an item named item2 in cn2.
For an item named item3 in cn3, update the item time to live to 3,600 seconds.
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:

Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/sql/change-feed-design-patterns
https://docs.microsoft.com/en-us/azure/cosmos-db/change-feed


NEW QUESTION # 205
Hotspot Question
You provision Azure resources by using the following Azure Resource Manager (ARM) template.

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:
Box 1: No
An alert is triggered when the DB key is regenerated, not when it is used.
Note: The az cosmosdb keys regenerate command regenerates an access key for a Azure Cosmos DB database account.
Box 2: No
Only an SMS action will be taken.
Emailreceivers is empty so no email action is taken.
Box 3: No
The trigger is fired when the database account has a new key regenerated not when an item with a new partition key value is created.
Reference: https://docs.microsoft.com/en-us/cli/azure/cosmosdb/keys


NEW QUESTION # 206
You have an app that stores data in an Azure Cosmos DB Core (SQL) API account The app performs queries that return large result sets.
You need to return a complete result set to the app by using pagination. Each page of results must return 80 items.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

Explanation:

Step 1: Configure the MaxItemCount in QueryRequestOptions
You can specify the maximum number of items returned by a query by setting the MaxItemCount. The MaxItemCount is specified per request and tells the query engine to return that number of items or fewer.
Box 2: Run the query and provide a continuation token
In the .NET SDK and Java SDK you can optionally use continuation tokens as a bookmark for your query's progress. Azure Cosmos DB query executions are stateless at the server side and can be resumed at any time using the continuation token.
If the query returns a continuation token, then there are additional query results.
Step 3: Append the results to a variable
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/sql-query-pagination


NEW QUESTION # 207
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a container named container1 in an Azure Cosmos DB Core (SQL) API account.
You need to make the contents of container1 available as reference data for an Azure Stream Analytics job.
Solution: You create an Azure Synapse pipeline that uses Azure Cosmos DB Core (SQL) API as the input and Azure Blob Storage as the output.
Does this meet the goal?

Answer: A

Explanation:
Instead create an Azure function that uses Azure Cosmos DB Core (SQL) API change feed as a trigger and Azure event hub as the output.
The Azure Cosmos DB change feed is a mechanism to get a continuous and incremental feed of records from an Azure Cosmos container as those records are being created or modified. Change feed support works by listening to container for any changes. It then outputs the sorted list of documents that were changed in the order in which they were modified.
The following diagram represents the data flow and components involved in the solution:

Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/changefeed-ecommerce-solution


NEW QUESTION # 208
You have an Azure Cosmos DB for NoSQL account that frequently receives the same three queries.
You need to configure indexing to minimize RUs consumed by the queries.
Which type of index should you use for each query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation
Box 1 = Range Azure Cosmos DB supports three types of indexes: range, spatial and composite. For the query you provided, which is an equality query on a single property, the best type of index to use is range. Range index is based on an ordered tree-like structure and it is used for equality queries, range queries and checking for the presence of a property1. Range index also supports any string or number .
Box 2 = Composite
Azure Cosmos DB supports three types of indexes: range, spatial and composite. For the query you provided, which is an order by query on two properties, the best type of index to use is composite. Composite index is used for optimizing order by queries on multiple properties1. Composite index allows you to specify a list of property paths and sort orders that are used for ordering items2.
Box 3 = spatial
Azure Cosmos DB supports three types of indexes: range, spatial and composite. For the query you provided, which is a spatial query on a point property, the best type of index to use is spatial. Spatial index is used for querying items based on their location or proximity to a given point1. Spatial index supports point, polygon and linestring data types2.


NEW QUESTION # 209
......

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