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| Section | Weight | Objectives |
|---|---|---|
| Design and implement data distribution | 5-10% | - Manage data distribution and failover
|
| Integrate an Azure Cosmos DB solution | 5-10% | - Enable analytical workloads
|
| Design and implement data models | 35-40% | - Implement connectivity and data access
|
| Optimize an Azure Cosmos DB solution | 15-20% | - Define and implement indexing strategy
|
| Maintain an Azure Cosmos DB solution | 25-30% | - Implement backup and restore
|
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NEW QUESTION # 41
You are building an application that will store data in an Azure Cosmos DB for NoSQL account.
The account uses the session default consistency level. The account is used by five other applications. The account has a single read-write region and 10 additional read region.
Approximately 20 percent of the items stored in the account are updated hourly.
Several users will access the new application from multiple devices.
You need to ensure that the users see the same item values consistently when they browse from the different devices. The solution must NOT affect the other applications.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,C
Explanation:
Use Session consistency and use Stateful Entities in Durable Functions or something similar that will allow you to implement a distributed mutex to store and update the Session token across multiple Cosmos client instances.
Note: The session consistency is the default consistency that you get while configuring the cosmos DB account. This level of consistency honors the client session. It ensures a strong consistency for an application session with the same session token. What that means is that whatever is written by a session will return the latest version for reads as well, from that same session.
Incorrect:
Not A: Eventual consistency is the weakest consistency level of all. The first thing to consider in this model is that there is no guarantee on the order of the data and also no guarantee of how long the data can take to replicate. As the name suggests, the reads are consistent, but eventually.
This model offers high availability and low latency along with the highest throughput of all. This model suits the application that does not require any ordering guarantee. The best usage of this type of model would be the count of retweets, likes, non-threaded comments where the count is more important than any other information.
Not B: The reads should be the same from different devices.
Reference:
https://stackoverflow.com/questions/64084499/can-i-use-a-client-constructed-session-token-for-cosmosdb
NEW QUESTION # 42
You have an Azure Cosmos DB Core (SQL) API account named account1.
In account1, you run the following query in a container that contains 100GB of data.
SELECT *
FROM c
WHERE LOWER(c.categoryid) = "hockey"
You view the following metrics while performing the query.
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
Each physical partition should have its own index, but since no index is used, the query is not cross-partition.
Box 2: No
Index utilization is 0% and Index Look up time is also zero.
Box 3: Yes
A partition key index will be created, and the query will perform across the partitions.
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/how-to-query-container
NEW QUESTION # 43
You have an Azure Cosmos DB Core (SQL) API account that is configured for multi-region writes. The account contains a database that has two containers named container1 and container2.
The following is a sample of a document in container1:
{
"customerId": 1234,
"firstName": "John",
"lastName": "Smith",
"policyYear": 2021
}
The following is a sample of a document in container2:
{
"gpsId": 1234,
"latitude": 38.8951,
"longitude": -77.0364
}
You need to configure conflict resolution to meet the following requirements:
For container1 you must resolve conflicts by using the highest value for policyYear.
For container2 you must resolve conflicts by accepting the distance closest to latitude: 40.730610 and longitude: -73.935242.
Administrative effort must be minimized to implement the solution.
What should you configure for each container? To answer, drag the appropriate configurations to the correct containers. Each configuration may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/conflict-resolution-policies
https://docs.microsoft.com/en-us/azure/cosmos-db/sql/how-to-manage-conflicts
NEW QUESTION # 44
Drag and Drop Question
You have an Azure subscription that contains an Azure Cosmos DB for NoSQL account. The account contains a database named DB1 and an Azure Key Vault named KV1.
You need to create a container named Container1 in DB1. The solution must ensure that the properties of the items in container1 are encrypted by using Always Encrypted.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
NEW QUESTION # 45
You have an Azure Cosmos DB container named container! that has a provisioned throughput and two physical partitions. You monitor the following metrics for container1
* Normalized RU consumption
* The percentage of requests that have an HTTP status code of 429
You need to confirm that container1 is configured to maximize resource utilization.
What are the optimal values for each metric? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
NEW QUESTION # 46
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