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| Section | Weight | Objectives |
|---|---|---|
| Design and implement data models | 35-40% | - Design partitioning strategy
|
| Design and implement data distribution | 5-10% | - Manage data distribution and failover
|
| Optimize an Azure Cosmos DB solution | 15-20% | - Work with change feed
|
| Maintain an Azure Cosmos DB solution | 25-30% | - Manage data movement
|
| Integrate an Azure Cosmos DB solution | 5-10% | - Enable analytical workloads
|
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NEW QUESTION # 37
You have an Azure Cosmos DB for NoSQL account.
The change feed is enabled on a container named invoice.
You create an Azure function that has a trigger on the change feed.
What is received by the Azure function?
Answer: D
Explanation:
According to the Azure Cosmos DB documentation12, the change feed is a persistent record of changes to a container in the order they occur. The change feed outputs the sorted list of documents that were changed in the order in which they were modified.
The Azure function that has a trigger on the change feed receives all the properties of the updated items2. The change feed does not include the original items or only the changed properties. The change feed also includes some system-defined properties such as _ts (the last modified timestamp) and _lsn (the logical sequence number)3.
Therefore, the correct answer is:
NEW QUESTION # 38
You are designing an Azure Cosmos DB for NoSQL solution to store data from IoT devices.
Writes from the devices will occur every second. Data will be retained indefinitely.
The following is a sample of the data.
You need to select a partition key that meets the following requirements for writes:
- Minimizes the partition skew
- Avoids capacity limits
- Avoids hot partitions
What should you do?
Answer: C
Explanation:
To minimize partition skew and avoid the 20 GB logical partition limit for an IoT workload, you should use Hierarchical Partition Keys.
This modern feature allows you to define up to three partition keys, creating a sub-partitioning structure that scales beyond a single device's data limits.
The Optimal Key Structure
For your specific data, the best practice is a 2-level hierarchy:
Level 1: deviceID
Ensures high cardinality (thousands of unique values).
Groups data logically for device-specific queries.
Level 2: timestamp (truncated to Day or Month)
Prevents any single device from hitting the 20 GB logical partition limit over time.
A device reporting every second generates ~86,400 records/day; adding a date suffix ensures the
"logical partition" resets each period.
Reference:
https://learn.microsoft.com/en-us/azure/cosmos-db/design-partitioning-iot
NEW QUESTION # 39
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 # 40
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 # 41
You plan to implement con-iot1 and con-iot2.
You need to configure the default Time to Live setting for each container. The solution must meet the loT telemetry requirements.
What should you configure? To answer, select the appropriate options in the answer NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1 = On (no default)For con-iot1, you need to configure the default TTL setting to On (no default), which means that items in this container do not expire by default, but you can override the TTL value on a per-item basis. This meets the requirement of retaining all telemetry data unless overridden1.
Box 2 = On (3600 seconds)For con-iot2, you need to configure the default TTL setting to On (3600 seconds), which means that items in this container will expire 3600 seconds (one hour) after their last modified time. This meets the requirement of deleting all telemetry data older than one hour1.
NEW QUESTION # 42
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