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| Section | Objectives |
|---|---|
| Topic 1: Design and implement data models for Azure Cosmos DB | - Model data for NoSQL workloads
|
| Topic 2: Integrate Azure Cosmos DB with Azure services | - Event-driven architectures
|
| Topic 3: Design and implement data distribution | - Partitioning and scaling
|
| Topic 4: Optimize and maintain Cosmos DB solutions | - Performance optimization
|
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261. Frage
You have an Azure Cosmos DB for NoSQL account that contains a database named DB1.
Users run the following query against DB1.
SELECT *
FROM c
WHERE c.bikeParts = "Frame, Chain, Peddles"
ORDER BY c.bikeParts ASC
You add an index to the recordset.
You need to change the ORDER BY syntax of the query to optimize the use of the index. The solution must NOT change the result set.
Which syntax should you use?
Antwort: B
Begründung:
Need to first sort on c.bikeParts DESC to keep the same order.
Note: ts. A read-only and system-generated timestamp. The value is the Document's last-updated timestamp, in seconds from the UNIX epoch.
Incorrect:
[Not A, Not C]
Need ASC c.bikeParts sorting on not DESC
[Not B]
Need to first sort on c.bikeParts to keep the same order.
If the indexing mode is set to consistent, the system properties id and _ts are automatically indexed.
Reference:
https://docs.safe.com/fme/html/FME-Form-Documentation/FME-ReadersWriters/documentdb/feature-representation.htm
262. Frage
You have a database named db1 in an Azure Cosmos DB for NoSQL
You are designing an application that will use dbl.
In db1, you are creating a new container named coll1 that will store in coll1.
The following is a sample of a document that will be stored in coll1.
The application will have the following characteristics:
* New orders will be created frequently by different customers.
* Customers will often view their past order history.
You need to select the partition key value for coll1 to support the application. The solution must minimize costs.
To what should you set the partition key?
Antwort: B
Begründung:
Based on the characteristics of the application and the provided document structure, the most suitable partition key value for coll1 in the given scenario would be the customerId, Option B.
The application frequently creates new orders by different customers and customers often view their past order history. Using customerId as the partition key would ensure that all orders associated with a particular customer are stored in the same partition. This enables efficient querying of past order history for a specific customer and reduces cross-partition queries, resulting in lower costs and improved performance.
a partition key is a JSON property (or path) within your documents that is used by Azure Cosmos DB to distribute data among multiple partitions3. A partition key should have a high cardinality, which means it should have many distinct values, such as hundreds or thousands1. A partition key should also align with the most common query patterns of your application, so that you can efficiently retrieve data by using the partition key value1.
Based on these criteria, one possible partition key that you could use for coll1 is B. customerId.
This partition key has the following advantages:
* It has a high cardinality, as each customer will have a unique ID3.
* It aligns with the query patterns of the application, as customers will often view their past order history3.
* It minimizes costs, as it reduces the number of cross-partition queries and optimizes the storage and throughput utilization1.
This partition key also has some limitations, such as:
* It may not be optimal for scenarios where orders need to be queried independently from customers or aggregated by date or other criteria3.
* It may result in hot partitions or throttling if some customers create orders more frequently than others or have more data than others1.
* It may not support transactions across multiple customers, as transactions are scoped to a single logical partition2.
Depending on your specific use case and requirements, you may need to adjust this partition key or choose a different one. For example, you could use a synthetic partition key that concatenates multiple properties of an item2, or you could use a partition key with a random or pre-calculated suffix to distribute the workload more evenly2.
263. Frage
You configure a backup for an Azure Cosmos DB for NoSQL account as shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
Explanation:
Box 1 = The current backup policy provides protection for: 2 Hours
Azure Cosmos DB automatically takes backups of your data at regular intervals. The backup interval and the retention period can be configured from the Azure portal. You can also choose between two backup modes:
periodic backup mode and continuous backup mode. Periodic backup mode is the default mode for all existing accounts and it takes a full backup of your database every 4 hours by default. Continuous backup mode is a new mode that allows you to restore to any point of time within either 7 or 30 days1.
For your scenario, based on the exhibit, you have configured a backup for an Azure Cosmos DB for NoSQL account using the periodic backup mode with a backup interval of 1 hour and a retention period of 2 hours.
This means that Azure Cosmos DB will take a fullbackup of your database every hour and keep only the latest two backups. Therefore, the current backup policy provides protection for 2 hours.
Box 2: In case of emergency, you must (answer choice) to restore the backup = create a support ticket Azure Cosmos DB automatically takes backups of your data at regular intervals. You can configure the backup interval and the retention period from the Azure portal. You can also choose between two backup modes: periodic backup mode and continuous backup mode. Periodic backup mode is the default mode for all existing accounts and it takes a full backup of your database every 4 hours by default. Continuous backup mode is a new mode that allows you to restore to any point of time within either 7 or 30 days1.
For your scenario, based on the exhibit, you have configured a backup for an Azure Cosmos DB for NoSQL account using the periodic backup mode with a backup interval of 1 hour and a retention period of 2 hours.
This means that Azure Cosmos DB will take a full backup of your database every hour and keep only the latest two backups. In case of emergency, you must create a support ticket to restore the backup. This is the answer to your question.
To restore data from a periodic backup, you need to create a support request with Azure Cosmos DB team and provide the following information:
* The name of your Azure Cosmos DB account
* The name of the database or container that you want to restore
* The date and time (in UTC) that you want to restore from
* The name of the target Azure Cosmos DB account where you want to restore the data
* The name of the target resource group where you want to restore the data The Azure Cosmos DB team will then initiate the restore process and notify you when it is completed2.
264. Frage
You plan to create an Azure Cosmos DB database named db1 that will contain two containers. One of the containers will contain blog posts, and the other will contain users. Each item in the blog post container will include:
* A single blog post
* All the comments associated to the blog post
* The names of the users who created the blog post and added the comments.
You need to design a solution to update usernames m the user container without causing data integrity issues.
The solution must minimize administrative and development effort. 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.
Antwort:
Begründung:
Explanation:
265. Frage
You have the following query.
You need to recommend a composite index strategy that will minimize the request units (RUs) consumed by the query.
What should you recommend?
Antwort: A
Begründung:
If a query has a filter with two or more properties, adding a composite index will improve performance.
Consider the following query:
SELECT * FROM c WHERE c.name = "Tim" and c.age > 18
In the absence of a composite index on (name ASC, and age ASC), we will utilize a range index for this query. We can improve the efficiency of this query by creating a composite index for name and age. Queries with multiple equality filters and a maximum of one range filter (such as >,<,
<=, >=, !=) will utilize the composite index.
Reference: https://azure.microsoft.com/en-us/blog/three-ways-to-leverage-composite-indexes-in- azure-cosmos-db/
266. Frage
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