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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Maintain an Azure Cosmos DB solution | 25-30% | - Manage data movement
|
| Topic 2: Design and implement data models | 35-40% | - Implement connectivity and data access
|
| Topic 3: Optimize an Azure Cosmos DB solution | 15-20% | - Define and implement indexing strategy
|
| Topic 4: Design and implement data distribution | 5-10% | - Manage data distribution and failover
|
| Topic 5: Integrate an Azure Cosmos DB solution | 5-10% | - Integrate with Azure services
|
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NEW QUESTION # 64
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:
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 # 65
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 an Azure Cosmos DB Core (SQL) API account named account 1 that uses autoscale throughput.
You need to run an Azure function when the normalized request units per second for a container in account1 exceeds a specific value.
Solution: You configure an application to use the change feed processor to read the change feed and you configure the application to trigger the function.
Does this meet the goal?
Answer: A
Explanation:
Explanation
Instead configure an Azure Monitor alert to trigger the function.
You can set up alerts from the Azure Cosmos DB pane or the Azure Monitor service in the Azure portal.
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/create-alerts
NEW QUESTION # 66
You have an on-premises computer named Computer1 that runs Windows 11.
On Computer1, you install the Azure Cosmos DB Emulator by using the default settings. You need to connect to the API for NoSQL clients hosted by the emulator. What should you use?
Answer: A
NEW QUESTION # 67
You have an Apache Spark pool in Azure Synapse Analytics that runs the following Python code in a notebook.
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:
New and updated orders will be added to contoso-erp.orders: Yes
The code performs bulk data ingestion from contoso-app: No
Both contoso-app and contoso-erp have Analytics store enabled: Yes
The code uses the spark.readStream method to read data from a container named orders in a database named contoso-app. The data is then filtered by a condition and written to another container named orders in a database named contoso-erp using the spark.writeStream method. The write mode is set to "append", which means that new and updated orders will be added to the destination container 1 .
The code does not perform bulk data ingestion from contoso-app, but rather stream processing. Bulk data ingestion is a process of loading large amounts of data into a data store in batches. St ream processing is a process of continuously processing data as it arrives in real-time 2 .
Both contoso-app and contoso-erp have Analytics store enabled, because they are both accessed by Spark pools using the spark.cosmos.oltp method. This method requires that the containers h ave Analytics store enabled, which is a feature that allows Spa rk pools to query data stored in Azure Cosmos DB containers using SQL APIs 3 .
NEW QUESTION # 68
You have a database named db1 in an Azure Cosmos DB for NoSQL account.
You have a third-party application that is exposed through a REST API.
You need to migrate data from the application to a container in db1 on a weekly basis.
What should you use?
Answer: B
Explanation:
You can use Copy Activity in Azure Data Factory to copy data from and to Azure Cosmos DB (SQL API).
The Azure Cosmos DB (SQL API) connector is supported for the following activities:
- Copy activity with supported source/sink matrix
- Mapping data flow
- Lookup activity
Incorrect:
Not A: Azure Migrate provides a centralized hub to assess and migrate on-premises servers, infrastructure, applications, and data to Azure. It assesses on- premises databases and migrate them to Azure SQL Database or to SQL Managed Instance.
Not C: Data Migration Assistant (DMA) enables you to upgrade to a modern data platform by detecting compatibility issues that can impact database functionality on your new version of SQL Server. It recommends performance and reliability improvements for your target environment.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/connector-azure-cosmos-db
NEW QUESTION # 69
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