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| Section | Objectives |
|---|---|
| Topic 1: Design and implement data distribution | - Partitioning and scaling
|
| Topic 2: Optimize and maintain Cosmos DB solutions | - Performance optimization
|
| Topic 3: Integrate Azure Cosmos DB with Azure services | - Data pipelines and analytics
|
| Topic 4: Design and implement data models for Azure Cosmos DB | - Design indexing strategies
|
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NEW QUESTION # 147
You are creating a database in an Azure Cosmos DB Core (SQL) API account. The database will be used by an application that will provide users with the ability to share online posts. Users will also be able to submit comments on other users' posts.
You need to store the data shown in the following table.
The application has the following characteristics:
Users can submit an unlimited number of posts.
The average number of posts submitted by a user will be more than 1,000.
Posts can have an unlimited number of comments from different users.
The average number of comments per post will be 100, but many posts will exceed 1,000 comments.
Users will be limited to having a maximum of 20 interests.
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 # 148
You have the indexing policy shown in the following exhibit.
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:
Explanation
Box 1: ORDER BY c.name DESC, c.age DESC
Queries that have an ORDER BY clause with two or more properties require a composite index.
The following considerations are used when using composite indexes for queries with an ORDER BY clause with two or more properties:
If the composite index paths do not match the sequence of the properties in the ORDER BY clause, then the composite index can't support the query.
The order of composite index paths (ascending or descending) should also match the order in the ORDER BY clause.
The composite index also supports an ORDER BY clause with the opposite order on all paths.
Box 2: At the same time as the item creation
Azure Cosmos DB supports two indexing modes:
Consistent: The index is updated synchronously as you create, update or delete items. This means that the consistency of your read queries will be the consistency configured for the account.
None: Indexing is disabled on the container.
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/index-policy
NEW QUESTION # 149
You have an Azure Cosmos DB for NoSQL container named Contacts that is configured as shown in the following exhibit.
Contacts contains the items shown in the following table.
To Contacts, you plan to insert the items 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 # 150
You have an on-premises network.
You have an Azure subscription that contains an Azure Cosmos DB account named account1 and an Azure virtual network named VNet1. VNet1 contains two virtual machines named VM1 and VM2. VNet1 is connected to the on-premises network by using a Site-to-Site (S2S) VPN.
You need to meet the following requirements:
* Block access to the public endpoint of account1.
* Allow only VM1 to access account1.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 151
You have an Azure Cosmos DB for NoSQL database named DB1 that hosts a container named Container1.
You have a global ecommerce app named App1 that writes and reads order data from Container1 in real time.
The metrics for DB1 show that many requests return the following error message.
HTTP StatusCode 429 (RequestRateTooLarge)
You need to recommend a solution to reduce the number of requests that return a 429 error. The solution must minimize costs.
What should you recommend?
Answer: A
Explanation:
To minimize HTTP 429 (RequestRateTooLarge) errors while keeping costs low in a real-time, read/write global Azure Cosmos DB for NoSQL application, you should add a composite index.
Reduces Read Costs (RUs): If your global application runs queries containing a WHERE clause with multiple properties or utilizes ORDER BY on multiple fields, standard single-property indexing is highly inefficient. A composite index allows Cosmos DB to resolve these complex queries instantly, slashing the consumed Request Units (RUs) per query.
Mitigates 429 Errors: By dramatically lowering the RU consumption of your queries, your database stays well under its provisioned or autoscale throughput limits, effectively preventing rate-limiting (429) spikes.
Keeps Overall Costs Low: The alternative to fixing query performance is scaling up the container's overall RU/s threshold, which scales up costs exponentially. A composite index targets the root cause safely without expensive over-provisioning.
Reference:
https://learn.microsoft.com/en-us/answers/questions/5659021/indexing-strategy-for-cosmos-db
NEW QUESTION # 152
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