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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB |
| Exam Number: | DP-420 |
| Exam Price: | $165 USD |
| Real Exam Qty: | 40-60 |
| Available Languages: | Chinese (Simplified), Japanese, English |
| Exam Duration: | 120 minutes |
| Passing Score: | 700 |
| Related Certifications: | Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Developer Associate |
| Exam Format: | Case studies, Multiple-response, Multiple-choice, Drag-and-drop, Practical lab scenarios |
| Certificate Validity Period: | 12 months |
| Recommended Training: | Course DP-420T00: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB |
| Exam Registration: | Pearson VUE Microsoft Learn |
| Sample Questions: | Microsoft DP-420 Sample Questions |
| Exam Way: | Online proctored or onsite test center |
| Pre Condition: | No mandatory prerequisites; recommended experience: developing Azure applications, working with NoSQL databases, proficiency in C#/Java/JavaScript/Python, familiarity with Azure management |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-420 |
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Microsoft DP-420 exam is a certification exam that measures the knowledge and skills of individuals in designing and implementing cloud-native applications using Microsoft Azure Cosmos DB. It is designed for developers, architects, and IT professionals who want to validate their expertise in working with the cloud-native applications on Microsoft Azure. DP-420 Exam focuses on the key concepts, features, and services of Azure Cosmos DB and how they can be used to develop scalable, highly available, and globally distributed cloud-native applications.
NEW QUESTION # 56
You plan to deploy two Azure Cosmos DB Core (SQL) API accounts that will each contain a single database.
The accounts will be configured as shown in the following table.
How should you provision the containers within each account to minimize costs? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Serverless capacity mode
Azure Cosmos DB serverless best fits scenarios where you expect intermittent and unpredictable traffic with long idle times. Because provisioning capacity in such situations isn't required and may be cost-prohibitive, Azure Cosmos DB serverless should be considered in the following use-cases:
Getting started with Azure Cosmos DB
Running applications with bursty, intermittent traffic that is hard to forecast, or low (<10%) average-to-peak traffic ratio Developing, testing, prototyping and running in production new applications where the traffic pattern is unknown Integrating with serverless compute services like Azure Functions Box 2: Provisioned throughput capacity mode and autoscale throughput The use cases of autoscale include:
Variable or unpredictable workloads: When your workloads have variable or unpredictable spikes in usage, autoscale helps by automatically scaling up and down based on usage. Examples include retail websites that have different traffic patterns depending on seasonality; IOT workloads that have spikes at various times during the day; line of business applications that see peak usage a few times a month or year, and more. With autoscale, you no longer need to manually provision for peak or average capacity.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/serverless
https://docs.microsoft.com/en-us/azure/cosmos-db/provision-throughput-autoscale#use-cases-of-autoscale
NEW QUESTION # 57
You have an Azure Cosmos DB database.
You plan to create a new container named container1 that will store product data and product category data and will primarily support read requests.
You need to configure a partition key for container1. The solution must meet the following requirements:
- Minimize the size of the partition.
- Minimize maintenance effort.
Which two characteristics should you prioritize? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,D
Explanation:
High cardinality: Choosing a partition key with high cardinality means having a large number of unique values distributed across the dataset. This helps in distributing the data evenly across multiple partitions, preventing hotspots and ensuring efficient scalability.
Static: Selecting a static partition key means choosing a key that does not frequently change.
This minimizes the need for updates to the partition key value and reduces maintenance effort. It also helps in maintaining a consistent distribution of data across partitions over time.
NEW QUESTION # 58
You have a container in an Azure Cosmos DB for NoSQL account. The database that has a manual throughput of 30,000 request units per second (RU/s). The current consumption details are shewn in the following chart.
Normalized RU Consumption (%) By PartitionKeyRangeID
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:
NEW QUESTION # 59
You have a container m an Azure Cosmos DB for NoSQL account. The container stores data about families.
Data about parents, children, and pets are stored as separate documents.
Each document contains the address of each family. Members of the same family share the same partition key named family Id You need to update the address for each member of the same family that share the same address. The solution must meet the following requirements:
* Be atomic consistent isolated, and durable (ACID).
* Provide the lowest latency.
What should you do?
Answer: C
NEW QUESTION # 60
You have a container named container1 in an Azure Cosmos DB Core (SQL) API account.
The following is a sample of a document in container1.
{
"studentId": "631282",
"firstName": "James",
"lastName": "Smith",
"enrollmentYear": 1990,
"isActivelyEnrolled": true,
"address": {
"street": "",
"city": "",
"stateProvince": "",
"postal": "",
}
}
The container1 container has the following indexing policy.
{
"indexingMode": "consistent",
"includePaths": [
{
"path": "/*"
},
{
"path": "/address/city/?"
}
],
"excludePaths": [
{
"path": "/address/*"
},
{
"path": "/firstName/?"
}
]
}
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: Yes
"path": "/*" is in includePaths.
Include the root path to selectively exclude paths that don't need to be indexed. This is the recommended approach as it lets Azure Cosmos DB proactively index any new property that may be added to your model.
Box 2: No
"path": "/firstName/?" is in excludePaths.
Box 3: Yes
"path": "/address/city/?" is in includePaths
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/index-policy
NEW QUESTION # 61
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