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You have an Azure subscription that contains an Azure Cosmos DB for NoSQL account named account1.
Backups for account1 have the following configurations:
* Interval: 2 hours
* Retention period: 4 days
You need to estimate the charges associated with the retention of the backups. How many copies of the backups will incur additional charges?
You have the following query.
SELECT * FROM
WHERE c.sensor = "TEMP1"
AND c.value < 22
AND c.timestamp >= 1619146031231
You need to recommend a composite index strategy that will minimize the request units (RUs) consumed by the query.
What should you recommend?
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.
You plan to create an Azure Cosmos DB account that will use the NoSQL API.
You need to create a grouping strategy for items that will be stored in the account. The solution must ensure that write and read operations on the items can be performed within the same transact!
What should you use to group the items?
You have operational data in an Azure Cosmos OB for NoSQL database.
Database users report that the performance of the database degrades significantly when a business analytics team runs large Apache Spark-based queries against the database.
You need 10 reduce the impact that running the Spark-based queries has on the database users.
What should you implement?
You need to create a database in an Azure Cosmos DB for NoSQL account. The database will contain three containers named coll1, coll2 and coll3. The coll1 container will have unpredictable read and write volumes. The col!2 and coll3 containers will have predictable read and write volumes. The expected maximum throughput for coll1 and coll2 is 50,000 request units per second (RU/s) each.
How should you provision the collection while minimizing costs?
To create a database that minimizes costs, you should consider the following factors:
The read and write volumes of your containers
The predictability and variability of your traffic
The latency and throughput requirements of your application
The geo-distribution and availability needs of your data
Based on these factors, one possible option that you could choose isB. Create a provisioned throughput account. Set the throughput for coll1 to Autoscale. Set the throughput for coll2 and coll3 to Manual.
This option has the following advantages:
It allows you to optimize your costs by paying only for the throughput you need for each container1.
This option also has some limitations, such as:
It may not support availability zones or multi-master replication for your account1.
