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The Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB certification exam is structured in such a way that it evaluates the candidate's practical knowledge and understanding of the topics covered in the course. It consists of multiple-choice questions, case studies, and scenarios that test the candidate's ability to apply their knowledge to real-world situations. DP-420 Exam is designed to assess the candidate's proficiency in the design, implementation, and maintenance of cloud-native applications using Azure Cosmos DB.
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To prepare for the DP-420 exam, candidates should have a thorough understanding of Azure Cosmos DB's architecture, data modeling, and indexing capabilities. They should also be familiar with the various APIs and programming models that are available for working with Azure Cosmos DB. Microsoft offers several training resources, including online courses, practice exams, and study guides, to help candidates prepare for the DP-420 Exam.
NEW QUESTION # 188
You plan to implement con-iot1 and con-iot2.
You need to configure the default Time to Live setting for each container. The solution must meet the loT telemetry requirements.
What should you configure? To answer, select the appropriate options in the answer NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 189
You have an Azure Cosmos DB for NoSQL account that hosts a container named Container1.
You implement a change feed processor.
You discover that the processor is processing changes more slowly than the changes occur in Container1.
You need to resolve the issue.
What should you use?
Answer: D
Explanation:
To handle change feed lag in Azure Cosmos DB, you can use the Change Feed Estimator to monitor the number of pending changes. This metric acts as a signal to scale your Change Feed Processor instances horizontally.
How the Estimator Works
The Estimator is a "sidecar" logic that measures the difference between the last processed item (stored in the lease container) and the latest change in the monitored container.
Frequency: It typically polls every 5 seconds (customizable).
Resource Usage: Each estimation consumes Request Units (RUs) from both the monitored and lease containers.
Independence: It can be deployed as a standalone instance separate from your processors to avoid impacting their performance.
Reference:
https://learn.microsoft.com/en-us/azure/cosmos-db/change-feed-processor
NEW QUESTION # 190
You have an Azure Cosmos DB Core (SQL) API account named storage1 that uses provisioned throughput capacity mode.
The storage1 account contains the databases shown in the following table.
The databases contain the containers 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:
Explanation
Box 1: No
Four containers with 1000 RU/s each.
Box 2: No
Max 8000 RU/s for db2. 8 containers, so 1000 RU/s for each container.
Box 3: Yes
Max 8000 RU/s for db2. 8 containers, so 1000 RU/s for each container. Can very well add an additional container.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/plan-manage-costs
https://azure.microsoft.com/en-us/pricing/details/cosmos-db/
NEW QUESTION # 191
You have the following Azure Resource Manager (ARM) template.
You plan to deploy the template in incremental mode.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
Answer:
Explanation:
NEW QUESTION # 192
Hotspot Question
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
UniqueKey will need to be set to emailAddress, since the job of a unique key is to ensure uniqueness of a value within a logical partition.
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/unique-keys
NEW QUESTION # 193
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