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Microsoft DP-420: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB exam is a certification test that helps professionals validate their skills in designing and implementing cloud-native applications using Azure Cosmos DB. DP-420 exam is a great way for professionals to showcase their expertise in the cloud computing industry and demonstrate their ability to design and implement robust cloud-native applications.
The Microsoft DP-420 exam tests the candidate’s knowledge and skills in various topics such as designing and implementing data access patterns using Cosmos DB, designing and implementing partitioning strategies, designing and implementing global distribution, and designing and implementing disaster recovery and data synchronization. DP-420 Exam also tests the candidate’s knowledge and skills in developing and implementing serverless and container-based applications using Cosmos DB.
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At PrepAwayPDF, we are aware that every applicant of the Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420) examination is different. We know that everyone has a distinct learning style, situations, and set of goals, therefore we offer Microsoft DP-420 updated exam preparation material in three easy-to-use formats to accommodate every exam applicant's needs. This article will go over the three formats of the Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420) practice material that we offer.
By passing the DP-420 Exam, professionals can demonstrate their expertise in designing and implementing cloud-native applications using Cosmos DB. Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB certification can help individuals enhance their career prospects by showcasing their skills to potential employers. Additionally, this certification can also help organizations identify skilled professionals who can help them implement and manage their cloud-native applications using Cosmos DB.
NEW QUESTION # 182
You have an Azure Cosmos DB Core (SQL) API account named account1.
You have the Azure virtual networks and subnets shown in the following table.
The vnet1 and vnet2 networks are connected by using a virtual network peer.
The Firewall and virtual network settings for account1 are configured as shown in the exhibit.
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: Yes
VM1 is on vnet1.subnet1 which has the Endpoint Status enabled.
Box 2: No
Only virtual network and their subnets added to Azure Cosmos account have access. Their peered VNets cannot access the account until the subnets within peered virtual networks are added to the account.
Box 3: No
Only virtual network and their subnets added to Azure Cosmos account have access.
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/how-to-configure-vnet-service-endpoint
NEW QUESTION # 183
You have an Azure Cosmos DB for NoSQL database named DB1 that hosts the containers shown in the following table.
The user permissions are bound to a user and will NOT be queried independently of the user.
The product price is bound to a product and will NOT be queried independently of the product.
You are designing a new data model for DB1.
You need to optimize the data model to improve read performance and maintainability. The solution must meet the following requirements:
- Future enhancements of the user permissions must be supported.
- Future enhancements of the product price do NOT need to be supported.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: C,D
Explanation:
To improve read performance and maintainability, you must transition from a normalized relational design to an optimized NoSQL design. NoSQL databases prioritize reading data in a single request rather than joining multiple containers.
Container Denormalization Strategy
[B]
Product Data (Container3 and Container4)
Action: Denormalize Container4 into Container3 by flattening the fields.
Product prices are never queried independently. Combining them allows a single read operation to fetch the complete product details.
Maintainability: Since future price enhancements are not required, you can directly flatten the price fields (e.g., price, currency) into the root of the product document. This keeps the schema simple and highly efficient.
[C]
User Data (Container1 and Container2)
Action: Denormalize Container2 into Container1 using reference (embedding as an array).
Users and permissions are always queried together. Embedding eliminates a second network call, drastically improving read performance.
Maintainability: Because future enhancements to permissions must be supported, embedding them as a strongly-typed JSON array or sub-object within the user document allows you to easily add new fields (e.g., expiration dates, scopes) later without breaking the schema.
Reference:
https://microsoftlearning.github.io/dp-420-cosmos-db-dev/instructions/17-denormalize.html
NEW QUESTION # 184
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 # 185
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 database in an Azure Cosmos DB for NoSQL account that is configured for multi- region writes.
You need to use the Azure Cosmos DB SDK to implement the conflict resolution policy for a container. The solution must ensure that any conflicts are sent to the conflicts feed.
Solution: You set ConflictResolutionMode to Custom. You set ResolutionProcedure to a custom stored procedure. You configure the custom stored procedure to use the conflictingItems parameter to resolve conflicts.
Does this meet the goal?
Answer: A
Explanation:
There are three ways for conflict resolution with the SDK:
1. Last-Writer-Wins: Conflicts do NOT show up in conflict feed
2. Custom Conflict Resolution Policy with Stored Proc: Conflicts do NOT show up in conflict feed unless there's an error in your stored procedure
3. Custom Conflict Resolution Policy: Conflicts DO show up in conflict feed.
This question is asking about item #2, which does NOT show up in the conflict feed by default.
Now, if there is an error in the stored procedure it would be, but I'm assuming the question isn't considering this, as it isn't stated.
https://learn.microsoft.com/en-us/azure/cosmos-db/sql/how-to-manage-conflicts?tabs=dotnetv2%2Capi-async%2Casync#create-a-custom-conflict-resolution-policy
NEW QUESTION # 186
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 function that uses Azure Cosmos DB Core (SQL) API change feed as a trigger and Azure event hub as the output.
Does this meet the goal?
Answer: A
Explanation:
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:
NEW QUESTION # 187
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