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The Microsoft DP-420 Exam DP-420 is aimed at professionals who have experience in designing and implementing Cosmos DB solutions. DP-420 exam is intended for those who are looking to enhance their knowledge and skills in cloud-native application development by leveraging Microsoft Azure Cosmos DB. DP-420 exam covers various topics related to Cosmos DB, including data modeling, partitioning, indexing, querying, and performance tuning.
The DP-420 exam covers a range of topics related to cloud-native application development using Azure Cosmos DB. This includes topics such as designing and implementing containers, designing and implementing data storage solutions, and designing and implementing security solutions. Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB certification exam is designed to test the individual’s knowledge of these topics and their ability to apply this knowledge in real-world scenarios.
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Microsoft DP-420 exam is part of the Azure certification path, and passing DP-420 exam will help professionals to demonstrate their proficiency in designing and implementing cloud-native applications using Azure Cosmos DB. DP-420 Exam is also essential for individuals who want to validate their skills in building highly scalable and available applications that can handle large volumes of data traffic.
NEW QUESTION # 204
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 # 205
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: A
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 # 206
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: A
Explanation:
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:
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/changefeed-ecommerce-solution
NEW QUESTION # 207
Hotspot Question
You have an Azure subscription that contains an Azure Cosmos DB for NoSQL account.
You create a container and assign the following indexing policy.
You run the queries shown in the following table.
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 # 208
You have an Azure Cosmos DB for NoSQL account that contains a container named container1.
You plan to use container1 as a key-value store that will perform point reads on the item ID and partition key.
You need to define an indexing policy for container! The solution must meet the following requirements:
* Provide the ability to set DefauitTimeToLive for container1.
* Minimize implementation time.
* Minimize costs.
How should you complete the JSON definition of the indexing policy? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 209
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