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Microsoft DP-420 Exam Syllabus Topics:

Section	Weight	Objectives
Design and implement data models	35-40%	- Design a data partitioning strategy 1. Implement synthetic partition keys 2. Choose a partitioning strategy 3. Plan for transactions with partition keys 4. Evaluate cross-partition query cost 5. Evaluate throughput and data distribution 6. Choose a partition key - Implement data access 1. Use consistency and query request options 2. Implement patch operations 3. Implement optimistic concurrency control 4. Implement SQL queries with arrays and aggregation 5. Manage transactional batch operations 6. Use SDKs for CRUD operations - Plan and implement sizing and scaling 1. Design resource governance and scaling 2. Evaluate global distribution costs 3. Choose between serverless, provisioned, and free tier 4. Configure throughput 5. Evaluate throughput and storage requirements - Design and implement a non-relational data model for Azure Cosmos DB for NoSQL 1. Reference between documents 2. Denormalize data across documents 3. Identify partition key, id, and unique keys 4. Store multiple entity types in the same container 5. Identify data and associated access patterns 6. Store multiple related entities in the same document - Implement server-side programming 1. Implement user-defined functions 2. Implement triggers 3. Write and deploy stored procedures - Implement client connectivity options 1. Configure client-side threading and logging 2. Use Azure Cosmos DB emulator 3. Implement singleton client 4. Choose gateway or direct connectivity mode 5. Handle connection errors 6. Create database connections
Optimize an Azure Cosmos DB solution	15-20%	- Define and implement indexing strategy 1. Choose appropriate index types 2. Configure custom indexing policies 3. Choose read-heavy or write-heavy indexing 4. Implement composite indexes 5. Optimize index performance - Design and implement change feeds 1. Develop Azure Functions triggers 2. Manage change feed instances 3. Implement aggregation persistence 4. Consume change feeds using SDK - Optimize query performance 1. Calculate query cost 2. Retrieve request unit cost 3. Adjust indexing policies 4. Implement integrated cache
Maintain an Azure Cosmos DB solution	25-30%	- Monitor and troubleshoot Azure Cosmos DB solutions 1. Monitor performance and availability 2. Monitor metrics and logs 3. Implement backup and recovery strategies 4. Troubleshoot throughput issues
Design and implement data distribution	5-10%	- Design and implement replication strategy 1. Choose a consistency model 2. Perform manual failovers 3. Evaluate consistency model impacts 4. Define automatic failover policies 5. Choose when to distribute data - Design and implement multi-region writes 1. Choose when to use multi-region writes 2. Implement multi-region writes 3. Implement conflict resolution policies
Integrate an Azure Cosmos DB solution	5-10%	- Implement solutions across services 1. Aggregate and archive data 2. Use Change Feed for denormalization 3. Integrate Azure Functions and Event Hubs 4. Enforce referential integrity 5. Implement Azure AI Search integration - Enable analytical workloads 1. Enable analytical store 2. Write data back from Spark 3. Configure Azure Cosmos DB Mirroring 4. Query analytical store from Synapse

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q132-Q137):

NEW QUESTION # 132
You have an Azure Cosmos DB Core (SQL) API account that is used by 10 web apps.
You need to analyze the data stored in the account by using Apache Spark to create machine learning models.
The solution must NOT affect the performance of the web apps.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Enable Azure Synapse Link for the account and Analytical store on the container.
B. Create a private endpoint connection to the account.
C. In an Apache Spark pool in Azure Synapse, create a table that uses cosmos.olap as the data source.
D. In an Apache Spark pool in Azure Synapse, create a table that uses cosmos.oltp as the data source.
E. In an Azure Synapse Analytics serverless SQL pool, create a view that uses OPENROWSET and the CosmosDB provider.

Answer: A,C

Explanation:
Reference:
https://github.com/microsoft/MCW-Cosmos-DB-Real-Time-Advanced-Analytics/blob/main/Hands-on%20lab
/HOL%20step-by%20step%20-%20Cosmos%20DB%20real-time%20advanced%20analytics.md

NEW QUESTION # 133
Hotspot Question
You have an Azure Cosmos DB for NoSQL database named db1.
You run the following code:

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

Answer:

Explanation:

NEW QUESTION # 134
You have an Azure Cosmos DB for NoSQL account that contains a database named DB1 and a container named Container1.
You need to manage the account by using the Azure Cosmos DB SDK.
What should you do?

A. Create a user defined function (UDF) in Container1.
B. List the physical partitions of Container1.
C. Read a stored procedure in Container1.
D. Create a container in DB1.

Answer: A

NEW QUESTION # 135
You have an Azure subscription that hosts an Azure Cosmos DB for NoSQL container named Container1 and an Azure Data Factory pipeline named Pipeline1.
You need to use a Copy activity in Pipeline1 to ingest data into Container1.
Which two operations can the Copy activity perform? Each correct answer presents a complete solution.
NOTE: Each correct answer is worth one point.

A. truncate
B. update
C. delete
D. upsert
E. insert

Answer: D,E

Explanation:
When using a Copy activity in an Azure Data Factory pipeline to ingest data into an Azure Cosmos DB for NoSQL container, the activity is able to execute two distinct write behaviors (operations): Insert and Upsert.
Write Operations Supported
Insert: This operation acts as a standard append. It attempts to add the incoming data as a new document inside the Cosmos DB container. If a document with the exact same unique identifier (id) already exists in the container, the operation will fail with a primary key conflict error.
Upsert: This operation conditionally updates or inserts data. If an incoming document shares the same id as an existing document in the container, the Copy activity will overwrite (update) the existing document. If the id does not match any existing documents, it will create (insert) a brand new document.
Reference:
https://learn.microsoft.com/en-us/fabric/data-factory/connector-azure-cosmosdb-for-nosql-copy-activity

NEW QUESTION # 136
You are creating a database in an Azure Cosmos DB Core (SQL) API account. The database will be used by an application that will provide users with the ability to share online posts. Users will also be able to submit comments on other users' posts.
You need to store the data shown in the following table.

The application has the following characteristics:
Users can submit an unlimited number of posts.
The average number of posts submitted by a user will be more than 1,000.
Posts can have an unlimited number of comments from different users.
The average number of comments per post will be 100, but many posts will exceed 1,000 comments.
Users will be limited to having a maximum of 20 interests.
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:

NEW QUESTION # 137
......

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