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| Section | Weight | Objectives |
|---|---|---|
| Optimize an Azure Cosmos DB solution | 15-20% | - Design and implement change feeds
|
| Design and implement data models | 35-40% | - Plan and implement sizing and scaling
|
| Design and implement data distribution | 5-10% | - Design and implement multi-region writes
|
| Integrate an Azure Cosmos DB solution | 5-10% | - Enable analytical workloads
|
| Maintain an Azure Cosmos DB solution | 25-30% | - Monitor and troubleshoot Azure Cosmos DB solutions
|
>> DP-420 Valid Test Objectives <<
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NEW QUESTION # 58
Vou have an Azure subscription. The subscription contains an Azure Cosmos DB for NoSQL account named account1 that hosts a container named Customers. Multi-region writes are allowed.
You execute the following C# code.
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 # 59
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 # 60
Hotspot Question
You have an Azure Cosmos DB for NoSQL account named account1 in a resource group named RG1. The Azure regions for account1 are shown in the following table.
You need to fail over account1 from the East US region to the Central US region by using Azure Command-Line Interface (CLI).
How should you complete the command? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 61
You have an Azure Cosmos DB for NoSQL container named Container1 that stores 500 GB of data.
You plan to run cross-partition queries that target Container1. The queries will include the partition key values specified in the db filters.
You need to minimize the cost of the queries.
What should you do?
Answer: B
Explanation:
To keep the price (RU cost) of your queries low in an Azure Cosmos DB for NoSQL container with hundreds of GB of data, the correct action is: Add the IN keyword to the queries.
Why it works: Using the IN keyword allows you to provide a specific list of partition key values in the query's WHERE clause.
Cost reduction: By specifying partition keys, the query engine can route the request only to the specific physical partitions that hold those values.
Efficiency: This avoids a full "fan-out" query (visiting every physical partition in a container with hundreds of GBs), which is the most expensive way to query Cosmos DB.
Incorrect:
[Not A]
Decrease the value of the MaxBufferedItemCount parameter:
This parameter controls how many items the client-side SDK buffers during a cross-partition query to manage memory and latency. It does not reduce the Request Unit (RU) cost charged by the database.
[Not B]
Add the DISTINCT keyword to the queries:
The DISTINCT keyword often increases the RU cost because the query engine must perform extra work to identify and remove duplicate values across multiple partitions.
[Not C]
Decrease the value of the MaxConcurrency parameter:
MaxConcurrency limits the number of simultaneous network requests the SDK makes to different partitions. While it can help manage client-side resources and avoid rate limiting, it does not reduce the total RU cost of the query execution on the server side.
Reference:
https://learn.microsoft.com/en-us/azure/cosmos-db/performance-tips-query-sdk
NEW QUESTION # 62
You have an Azure Cosmos DB for NoSQL account.
You plan 10 create a container named container1. The container1 container will store items that include two properties named nm and age The most commonly executed queries will query container1 for a specific name. The following is a sample of the query.
You need to define an opt-in Indexing policy for container1. The solution must meet the following requirements:
* Minimize the number of request units consumed by the queries.
* Ensure that the _etag property is excluded from indexing.
How should you define the indexing poky? To answer, select the appropriate options in the answer are a. NOTE: Each correct selection Is worth one point.
Answer:
Explanation:
NEW QUESTION # 63
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