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| Section | Objectives |
|---|---|
| Topic 1: Integrate Azure Cosmos DB with Azure services | - Event-driven architectures
|
| Topic 2: Design and implement data distribution | - Partitioning and scaling
|
| Topic 3: Optimize and maintain Cosmos DB solutions | - Performance optimization
|
| Topic 4: Design and implement data models for Azure Cosmos DB | - Design indexing strategies
|
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NEW QUESTION # 113
You have a container in an Azure Cosmos DB for NoSQL account. The database that has a manual throughput of 30,000 request units per second (RU/s). The current consumption details are shewn in the following chart.
Normalized RU Consumption (%) By PartitionKeyRangeID
Use the drop-down menus to select the answer choice that answers each question based on the information presented in the graphic. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 114
You have a container named contained in an Azure Cosmos DB for NoSQL account.
The following is a sample of a document in container1.
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 QUESTION # 115
You have an Azure Cosmos DB container named container1.
You need to insert an item into contained. The solution must ensure that the item is deleted automatically after two hours.
How should you complete the item definition? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 116
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 function that uses Azure Cosmos DB for NoSQL change feed as a trigger and Azure event hub as the output.
Does this meet the goal?
Answer: A
NEW QUESTION # 117
You are troubleshooting the current issues caused by the application updates.
Which action can address the application updates issue without affecting the functionality of the application?
Answer: D
Explanation:
Bounded staleness is frequently chosen by globally distributed applications that expect low write latencies but require total global order guarantee. Bounded staleness is great for applications featuring group collaboration and sharing, stock ticker, publish-subscribe/queueing etc.
Scenario: Application updates in con-product frequently cause HTTP status code 429 "Too many requests". You discover that the 429 status code relates to excessive request unit (RU) consumption during the updates.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-levels
NEW QUESTION # 118
......
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