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| Section | Weight | Objectives |
|---|---|---|
| Integrate an Azure Cosmos DB solution | 5-10% | - Implement solutions across services
|
| Design and implement data distribution | 5-10% | - Design and implement multi-region writes
|
| Design and implement data models | 35-40% | - Implement client connectivity options
|
| Maintain an Azure Cosmos DB solution | 25-30% | - Monitor and troubleshoot Azure Cosmos DB solutions
|
| Optimize an Azure Cosmos DB solution | 15-20% | - Design and implement change feeds
|
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NEW QUESTION # 61
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 # 62
You have an Azure subscription that contains an Azure Cosmos DB for NoSQL account named account1 and a Log Analytics workspace named Workspace1. Workspace 1 stores the logs of account1.
You need to identify which operations used the most request units per second (RU/s) during the last 24 hours.
How should you complete the query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point
Answer:
Explanation:
Explanation:
NEW QUESTION # 63
You have an Azure Cosmos DB Core (SQL) API account.
You configure the diagnostic settings to send all log information to a Log Analytics workspace.
You need to identify when the provisioned request units per second (RU/s) for resources within the account were modified.
You write the following query.
AzureDiagnostics
| where Category == "ControlPlaneRequests"
What should you include in the query?
Answer: B
Explanation:
Explanation
The following are the operation names in diagnostic logs for different operations:
RegionAddStart, RegionAddComplete
RegionRemoveStart, RegionRemoveComplete
AccountDeleteStart, AccountDeleteComplete
RegionFailoverStart, RegionFailoverComplete
AccountCreateStart, AccountCreateComplete
*AccountUpdateStart*, AccountUpdateComplete
VirtualNetworkDeleteStart, VirtualNetworkDeleteComplete
DiagnosticLogUpdateStart, DiagnosticLogUpdateComplete
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/audit-control-plane-logs
NEW QUESTION # 64
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 # 65
You are developing a web app named App1 that will store customer-generated content in an Azure Cosmos DB for NoSQL database named DB1.
You configure an Azure AI Search indexer to automatically ingest documents from DB1 into an Azure AI Search index.
App1 uses REST APIs to provide advanced search and retrieval capabilities for the documents.
You need to identify which types of queries you can use in Azure AI Search to retrieve text data.
The solution must minimize development effort.
Which two query types can you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Answer: B,D
Explanation:
[E]
To retrieve text data while keeping coding to a minimum in the described scenario, the correct query type is prefix.
Why Prefix Minimizes Coding
In Azure AI Search, the prefix query type allows you to perform "starts-with" matching using the Simple Query Parser.
Native Support: It is supported by the default simple query parser, meaning you do not need to change the queryType property in your REST API call.
Simple Syntax: You simply append a * to a partial term (e.g., search=cap*).
No Custom Configuration: Unlike edge n-gram tokenization, which requires you to manually define and configure custom analyzers and field mappings in your index schema, prefix search works out-of-the-box on standard searchable fields.
[C]
The other query type that can also be used to retrieve text data while keeping coding to a minimum is wildcard.
In Azure AI Search, wildcard queries (using * and ?) are supported in the Simple Query Syntax, which is the default query language. This allows you to perform basic pattern matching directly from user input without needing to set advanced parameters or implement complex custom analyzers.
Reference:
https://medium.com/@bryanhanner/building-search-into-your-application-84943cd359d4
https://docs.azure.cn/en-us/search/search-features-list
NEW QUESTION # 66
......
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