Desktop-Based Microsoft DP-420 Practice Exam Software Features

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Microsoft DP-420 Exam Syllabus Topics:

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

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q72-Q77):

NEW QUESTION # 72
The settings for a container in an Azure Cosmos DB Core (SQL) API account are configured as shown in the following exhibit.

Which statement describes the configuration of the container?

Answer: B

Explanation:
Explanation
When DefaultTimeToLive is -1 then your Time to Live setting is On (No default) Time to Live on a container, if present and the value is set to "-1", it is equal to infinity, and items don't expire by default.
Time to Live on an item:
This Property is applicable only if DefaultTimeToLive is present and it is not set to null for the parent container.
If present, it overrides the DefaultTimeToLive value of the parent container.
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/time-to-live


NEW QUESTION # 73
You have a database named db1 in an Azure Cosmos DB for NoSQL
You are designing an application that will use dbl.
In db1, you are creating a new container named coll1 that will store in coll1.
The following is a sample of a document that will be stored in coll1.

The application will have the following characteristics:
* New orders will be created frequently by different customers.
* Customers will often view their past order history.
You need to select the partition key value for coll1 to support the application. The solution must minimize costs.
To what should you set the partition key?

Answer: C

Explanation:
Based on the characteristics of the application and the provided document structure, the most suitable partition key value for coll1 in the given scenario would be the customerId, Option B.
The application frequently creates new orders by different customers and customers often view their past order history. Using customerId as the partition key would ensure that all orders associated with a particular customer are stored in the same partition. This enables efficient querying of past order history for a specific customer and reduces cross-partition queries, resulting in lower costs and improved performance.
a partition key is a JSON property (or path) within your documents that is used by Azure Cosmos DB to distribute data among multiple partitions3. A partition key should have a high cardinality, which means it should have many distinct values, such as hundreds or thousands1. A partition key should also align with the most common query patterns of your application, so that you can efficiently retrieve data by using the partition key value1.
Based on these criteria, one possible partition key that you could use for coll1 is B. customerId.
This partition key has the following advantages:
It has a high cardinality, as each customer will have a unique ID3.
It aligns with the query patterns of the application, as customers will often view their past order history3.
It minimizes costs, as it reduces the number of cross-partition queries and optimizes the storage and throughput utilization1.
This partition key also has some limitations, such as:
It may not be optimal for scenarios where orders need to be queried independently from customers or aggregated by date or other criteria3.
It may result in hot partitions or throttling if some customers create orders more frequently than others or have more data than others1.
It may not support transactions across multiple customers, as transactions are scoped to a single logical partition2.
Depending on your specific use case and requirements, you may need to adjust this partition key or choose a different one. For example, you could use a synthetic partition key that concatenates multiple properties of an item2, or you could use a partition key with a random or pre-calculated suffix to distribute the workload more evenly2.


NEW QUESTION # 74
Hotspot Question
You plan to use a multi-region Azure Cosmos DB for NoSQL account to store data for a new application suite. The suite contains the applications shown in the following table.

Each application should use the weakest consistency level possible.
Which consistency level should you configure for each application? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
https://willvelida.medium.com/understanding-consistency-levels-in-azure-cosmos-db-77b90dbf3daa


NEW QUESTION # 75
You have an Azure subscription that contains the resources shown in the following table.

In CosmosDB1, you plan to create a container named Container1 that will store sensitive data.
You need to ensure that Container1 uses Always Encrypted for Azure Cosmos DB.
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:


NEW QUESTION # 76
You have a database in an Azure Cosmos DB Core (SQL) API account.
You plan to create a container that will store employee data for 5,000 small businesses. Each business will have up to 25 employees. Each employee item will have an emailAddress value.
You need to ensure that the emailAddress value for each employee within the same company is unique.
To what should you set the partition key and the unique key? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Box 1: CompanyID
After you create a container with a unique key policy, the creation of a new or an update of an existing item resulting in a duplicate within a logical partition is prevented, as specified by the unique key constraint. The partition key combined with the unique key guarantees the uniqueness of an item within the scope of the container.
For example, consider an Azure Cosmos container with Email address as the unique key constraint and CompanyID as the partition key. When you configure the user ' s email address with a unique key, each item has a unique email address within a given CompanyID. Two items can ' t be created with duplicate email addresses and with the same partition key value.
Box 2: emailAddress
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/unique-keys


NEW QUESTION # 77
......

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