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Microsoft DP-420 Exam Syllabus Topics:

Section	Weight	Objectives
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. Define failover priorities 2. Manage regional availability
Integrate an Azure Cosmos DB solution	5-10%	- Enable analytical workloads 1. Use Synapse Link 2. Configure analytical store - Integrate with Azure services 1. Connect to Azure Stream Analytics 2. Use with Azure Functions, Logic Apps, Event Hubs
Maintain an Azure Cosmos DB solution	25-30%	- Implement security 1. Encrypt data at rest and in transit 2. Manage authentication and authorization - 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 - Manage data movement 1. Import/export data 2. Migrate between APIs or regions - Monitor and troubleshoot 1. Use Azure Monitor and Application Insights 2. Analyze metrics and logs
Optimize an Azure Cosmos DB solution	15-20%	- 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
Design and implement data models	35-40%	- Implement connectivity and data access 1. Use SDKs to connect and operate 2. Write efficient SQL queries - Design partitioning strategy 1. Plan for distribution and throughput 2. Choose partition key based on workload - Plan sizing and scaling 1. Provision throughput and storage 2. Select consistency levels - Design and implement non-relational data models 1. Configure time-to-live (TTL) 2. Denormalize data across documents 3. Reference between documents 4. Embed related entities in documents 5. Store multiple entity types in one container 6. Define primary and unique keys 7. Identify data and access patterns

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q114-Q119):

NEW QUESTION # 114
You have an Azure Cosmos DB for NoSQL account named accounts1.
You plan to implement the integrated cache for account1.
You need to configure the connectivity mode and the consistency level for requests that target account1. The solution must maximize consistency while using the integrated cache.
What should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 115
You need to create a data store for a directory of small and medium-sized businesses (SMBs). The data store must meet the following requirements:
* Store companies and the users employed by them. Each company will have less than 1,000 users.
* Some users have data that is greater than 2 KB.
* Associate each user to only one company.
* Provide the ability to browse by company.
* Provide the ability to browse the users by company.
* Whenever a company or user profile is selected, show a details page for the company and all the related users.
* Be optimized for reading data.
Which design should you implement to optimize the data store for reading data?

A. In a company container, create a document for each company. Embed the users into company documents. Use the company ID as the partition key.
B. In a user container, create a document for each user. Embed the company into each user document. Use the user ID as the partition key.
C. In a directory container, create a document for each company and a document for each user. Use company ID as the partition key.
D. Create a user container that uses the user ID as the partition key and a company container that container that uses the company ID as the partition key. Add the company ID to each user documents.

Answer: A

Explanation:
Azure Cosmos DB is a multi-model database that supports various data models, such as documents, key-value, graph, and column-family3. The core content-model of Cosmos DB's database engine is based on atom-record-sequence (ARS), which allows it to store and query different types of data in a flexible and efficient way3.
To optimize the data store for reading data, you should consider the following factors:
* The size and shape of your data
* The frequency and complexity of your queries
* The latency and throughput requirements of your application
* The trade-offs between storage efficiency and query performance
Based on these factors, one possible design that you could implement is B. In a company container, create a document for each company. Embed the users into company documents. Use the company ID as the partition key.
This design has the following advantages:
* It stores companies and users as self-contained documents that can be easily retrieved by company ID1.
* It avoids storing redundant data or creating additional containers for users1.
* It allows you to browse by company and browse the users by company with simple queries1.
* It shows a details page for the company and all the related users by fetching a single document1.
* It leverages the benefits of embedding data, such as reducing the number of requests, improving query performance, and simplifying data consistency2.
This design also has some limitations, such as:
* It may not be suitable for some users who have data that is greater than 2 KB, as it could exceed the maximum document size limit of 2 MB2.
* It may not be optimal for scenarios where users need to be associated with more than one company or queried independently from companies2.
* It may not be scalable for companies that have more than 1,000 users, as it could result in hot partitions or throttling2.
Depending on your specific use case and requirements, you may need to adjust this design or choose a different one. For example, you could use a hybrid data model that combines embedding and referencing data2
, or you could use a graph data model that expresses entities and relationships as vertices and edges.

NEW QUESTION # 116
You plan to deploy two Azure Cosmos DB Core (SQL) API accounts that will each contain a single database. The accounts will be configured as shown in the following table.

How should you provision the containers within each account to minimize costs? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/serverless
https://docs.microsoft.com/en-us/azure/cosmos-db/provision-throughput-autoscale#use-cases-of-autoscale

NEW QUESTION # 117
You configure a backup for an Azure Cosmos DB for NoSQL account as shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 118
You have a container in an Azure Cosmos DB for NoSQL account that stores data about orders. The following is a sample of an order document.

Documents are up to 2 KB.
You plan to receive one million orders daily.
Customers will frequently view then past order history.
You are the evaluating whether to use orderDate as the partition key.
What are two effects of using orderDate as the partition key? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. You will exceed the maximum storage per partition.
B. You will exceed the maximum number of partition key values.
C. There will always be a hot partition.
D. Queries will run cross-partition.

Answer: C,D

NEW QUESTION # 119
......

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