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Microsoft DP-420 Exam Syllabus Topics:

SectionWeightObjectives
Design and implement data models35-40%- Design and implement non-relational data models
  • 1. Denormalize data across documents
  • 2. Define primary and unique keys
  • 3. Reference between documents
  • 4. Embed related entities in documents
  • 5. Store multiple entity types in one container
  • 6. Configure time-to-live (TTL)
  • 7. Identify data and access patterns
- Implement connectivity and data access
  • 1. Write efficient SQL queries
  • 2. Use SDKs to connect and operate
- Design partitioning strategy
  • 1. Plan for distribution and throughput
  • 2. Choose partition key based on workload
- Plan sizing and scaling
  • 1. Select consistency levels
  • 2. Provision throughput and storage
Integrate an Azure Cosmos DB solution5-10%- Integrate with Azure services
  • 1. Connect to Azure Stream Analytics
  • 2. Use with Azure Functions, Logic Apps, Event Hubs
- Enable analytical workloads
  • 1. Use Synapse Link
  • 2. Configure analytical store
Optimize an Azure Cosmos DB solution15-20%- Define and implement indexing strategy
  • 1. Exclude or include properties
  • 2. Select index types and paths
- Work with change feed
  • 1. Process changes incrementally
  • 2. Trigger downstream workflows
- Optimize query performance
  • 1. Optimize throughput allocation
  • 2. Tune query structure and syntax
Maintain an Azure Cosmos DB solution25-30%- Monitor and troubleshoot
  • 1. Use Azure Monitor and Application Insights
  • 2. Analyze metrics and logs
- Manage data movement
  • 1. Import/export data
  • 2. Migrate between APIs or regions
- DevOps and automation
  • 1. Automate operations
  • 2. Deploy via ARM, Bicep, CLI
- Implement backup and restore
  • 1. Perform point-in-time restore
  • 2. Configure periodic backup
- Implement security
  • 1. Manage authentication and authorization
  • 2. Encrypt data at rest and in transit
Design and implement data distribution5-10%- Design replication strategy
  • 1. Implement multi-region write
  • 2. Configure multi-region replication
- 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 (Q49-Q54):

NEW QUESTION # 49
You have an Azure Cosmos DB for NoSQL account named account1.
You need to create a container named Container1 in account1 by using the Azure Cosmos DB .NET SDK. The solution must ensure that the items in Container1 never expire.
What should you set?

Answer: A


NEW QUESTION # 50
You are designing an Azure Cosmos DB for NoSQL solution to store data from IoT devices.
Writes from the devices will be occur every second. Data will be retained indefinitely.
The following is a sample of the data.

You need to select a partition key that meets the following requirements for writes:
- Minimizes the partition skew
- Avoids capacity limits
- Avoids hot partitions
What should you do?

Answer: C

Explanation:
Use a partition key with a random suffix. Distribute the workload more evenly is to append a random number at the end of the partition key value. When you distribute items in this way, you can perform parallel write operations across partitions.
Incorrect Answers:
A: You will also not like to partition the data on "DateTime", because this will create a hot partition. Imagine you have partitioned the data on time, then for a given minute, all the calls will hit one partition. If you need to retrieve the data for a customer, then it will be a fan-out query because data may be distributed on all the partitions.
B: Senser1Value has only two values.
C: All the devices could have the same manufacturer.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/sql/synthetic-partition-keys


NEW QUESTION # 51
You have the following query.
SELECT * FROM c
WHERE c.sensor = "TEMP1"
AND c.value < 22
AND c.timestamp >= 1619146031231
You need to recommend a composite index strategy that will minimize the request units (RUs) consumed by the query.
What should you recommend?

Answer: A

Explanation:
If a query has a filter with two or more properties, adding a composite index will improve performance.
Consider the following query:
SELECT * FROM c WHERE c.name = "Tim" and c.age > 18
In the absence of a composite index on (name ASC, and age ASC), we will utilize a range index for this query. We can improve the efficiency of this query by creating a composite index for name and age.
Queries with multiple equality filters and a maximum of one range filter (such as >,<, <=, >=, !=) will utilize the composite index.


NEW QUESTION # 52
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 # 53
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:


NEW QUESTION # 54
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