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The DP-420 certification exam covers a range of topics related to the design and implementation of cloud-native applications using Azure Cosmos DB. These topics include data modeling, partitioning, indexing, querying, and managing data at scale. DP-420 Exam also covers topics related to the use of Azure Cosmos DB in cloud-native architectures, including the use of Azure Functions, Azure Event Grid, and Azure Service Bus.
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Microsoft DP-420 exam is designed to test your knowledge and skills in designing and implementing cloud-native applications using Microsoft Azure Cosmos DB. DP-420 exam is intended for individuals who have experience in developing applications using Azure, and who have a solid understanding of the principles of cloud computing and distributed systems. Passing DP-420 Exam demonstrates your ability to design and build cloud-native applications that can scale and perform well in a distributed environment.
NEW QUESTION # 164
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 Synapse pipeline that uses Azure Cosmos DB Core (SQL) API as the input and Azure Blob Storage as the output.
Does this meet the goal?
Answer: B
Explanation:
Instead create an Azure function that uses Azure Cosmos DB Core (SQL) API change feed as a trigger and Azure event hub as the output.
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 # 165
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 # 166
You have a multi-region Azure Cosmos DB account named account1 that has a default consistency level of strong.
You have an app named App1 that is configured to request a consistency level of session.
How will the read and write operations of App1 be handled? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1 = Write and replicate data to every region synchronously
This is because the write concern is mapped to the default consistency level configured on your Azure Cosmos DB account2, which is strong in this case. Strong consistency ensures that every write operation is synchronously committed to every region associated with your Azure Cosmos DB account1. The request level consistency level of session only applies to the read operations of App11.
Box 2: That has the lowest estimated latency to the client
This is because the read operations of App1 will use the session consistency level that is specified in the request options. Session consistency is a client-centric consistency model that guarantees monotonic reads, monotonic writes, and read-your-own-writes within a session. A session is scoped to a client connection or a stored procedure execution. Session consistency allows clients to read from any region that has the lowest latency to the client.
NEW QUESTION # 167
You have an Azure Cosmos DB for NoSQL database named DB1 that hosts a container named Container1.
You have a global ecommerce app named App1 that writes and reads order data from Container1 in real time.
The metrics for DB1 show that many requests return the following error message.
HTTP StatusCode 429 (RequestRateTooLarge)
You need to recommend a solution to reduce the number of requests that return a 429 error. The solution must minimize costs.
What should you recommend?
Answer: C
Explanation:
To minimize HTTP 429 (RequestRateTooLarge) errors while keeping costs low in a real-time, read/write global Azure Cosmos DB for NoSQL application, you should add a composite index.
Reduces Read Costs (RUs): If your global application runs queries containing a WHERE clause with multiple properties or utilizes ORDER BY on multiple fields, standard single-property indexing is highly inefficient. A composite index allows Cosmos DB to resolve these complex queries instantly, slashing the consumed Request Units (RUs) per query.
Mitigates 429 Errors: By dramatically lowering the RU consumption of your queries, your database stays well under its provisioned or autoscale throughput limits, effectively preventing rate-limiting (429) spikes.
Keeps Overall Costs Low: The alternative to fixing query performance is scaling up the container's overall RU/s threshold, which scales up costs exponentially. A composite index targets the root cause safely without expensive over-provisioning.
Reference:
https://learn.microsoft.com/en-us/answers/questions/5659021/indexing-strategy-for-cosmos-db
NEW QUESTION # 168
You have a container named container1 in an Azure Cosmos DB Core (SQL) API account.
The following is a sample of a document in container1.
{
"studentId": "631282",
"firstName": "James",
"lastName": "Smith",
"enrollmentYear": 1990,
"isActivelyEnrolled": true,
"address": {
"street": "",
"city": "",
"stateProvince": "",
"postal": "",
}
}
The container1 container has the following indexing policy.
{
"indexingMode": "consistent",
"includePaths": [
{
"path": "/*"
},
{
"path": "/address/city/?"
}
],
"excludePaths": [
{
"path": "/address/*"
},
{
"path": "/firstName/?"
}
]
}
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
"path": "/*" is in includePaths.
Include the root path to selectively exclude paths that don't need to be indexed. This is the recommended approach as it lets Azure Cosmos DB proactively index any new property that may be added to your model.
Box 2: No
"path": "/firstName/?" is in excludePaths.
Box 3: Yes
"path": "/address/city/?" is in includePaths
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/index-policy
NEW QUESTION # 169
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