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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Integrate an Azure Cosmos DB solution | 5-10% | - Enable analytical workloads
|
| Topic 2: Design and implement data models | 35-40% | - Plan and implement sizing and scaling
|
| Topic 3: Optimize an Azure Cosmos DB solution | 15-20% | - Define and implement indexing strategy
|
| Topic 4: Maintain an Azure Cosmos DB solution | 25-30% | - Monitor and troubleshoot Azure Cosmos DB solutions
|
| Topic 5: Design and implement data distribution | 5-10% | - Design and implement multi-region writes
|
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NEW QUESTION # 175
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?
Answer: C
Explanation:
Explanation
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 partitions . A partition key should have a high cardinality, which means it should have many distinct values, such as hundreds or thousands . 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 ID
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 criteria It may result in hot partitions or throttling if some customers create orders more frequently than others or have more data than others 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.
NEW QUESTION # 176
You have an Azure subscription that contains an Azure Cosmos DB for NoSQL account. You define and implement an encryption policy by using the following C# code.
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:
NEW QUESTION # 177
You configure Azure Cognitive Search to index a container in an Azure Cosmos DB Core (SQL) API 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.
Answer:
Explanation:
Explanation:
Box 1: country
The country field is filterable.
Note: filterable: Indicates whether to enable the field to be referenced in $filter queries. Filterable differs from searchable in how strings are handled. Fields of type Edm.String or Collection(Edm.String) that are filterable do not undergo lexical analysis, so comparisons are for exact matches only.
Box 2: name
The name field is not Retrievable.
Retrievable: Indicates whether the field can be returned in a search result. Set this attribute to false if you want to use a field (for example, margin) as a filter, sorting, or scoring mechanism but do not want the field to be visible to the end user.
Note: searchable: Indicates whether the field is full-text searchable and can be referenced in search queries.
Reference: https://docs.microsoft.com/en-us/rest/api/searchservice/create-index
NEW QUESTION # 178
Hotspot Question
You have an Azure subscription that contains the resources shown in the following table.
You plan to use multiple SELECT statements to query Container1 by using the built-in SQL pool of Synapse1.
You need to meet the following requirements:
- Store the key for account1 in Synapse1 for use in the SELECT
- Designate the analytical store in the FROM clause of the SELECT
What should you run? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 179
You have an Azure Cosmos DB container named container1.
You need to insert an item into contained. The solution must ensure that the item is deleted automatically after two hours.
How should you complete the item definition? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 180
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