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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB |
| Exam Number: | DP-420 |
| Certificate Validity Period: | 12 months |
| Passing Score: | 700 |
| Related Certifications: | Microsoft Certified: Azure Developer Associate Microsoft Certified: Azure Solutions Architect Expert |
| Exam Format: | Multiple-response, Practical lab scenarios, Drag-and-drop, Case studies, Multiple-choice |
| Exam Duration: | 120 minutes |
| Exam Price: | $165 USD |
| Available Languages: | English, Japanese, Chinese (Simplified) |
| Real Exam Qty: | 40-60 |
| Recommended Training: | Course DP-420T00: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB |
| Exam Registration: | Microsoft Learn Pearson VUE |
| 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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The DP-420 exam is ideal for developers, architects, and database administrators who want to demonstrate their expertise in designing and implementing cloud-native applications using Cosmos DB. DP-420 exam also validates the candidate's ability to design and implement globally distributed, scalable, and highly available applications using Cosmos DB. Passing DP-420 exam will help professionals stand out in the job market and demonstrate their credibility in cloud-native application development.
Microsoft DP-420 Certification Exam is designed for professionals who want to demonstrate their ability to design and implement cloud-native applications using Microsoft Azure Cosmos DB. DP-420 exam is intended for individuals who have a strong understanding of Azure Cosmos DB and have experience working with cloud-native applications.
NEW QUESTION # 42
You have a container in an Azure Cosmos DB Core (SQL) API account. The container stores telemetry data from IoT devices. The container uses telemetryId as the partition key and has a throughput of 1,000 request units per second (RU/s). Approximately 5,000 IoT devices submit data every five minutes by using the same telemetryId value.
You have an application that performs analytics on the data and frequently reads telemetry data for a single IoT device to perform trend analysis.
The following is a sample of a document in the container.
You need to reduce the amount of request units (RUs) consumed by the analytics application.
What should you do?
Answer: B
Explanation:
The partition key is what will determine how data is routed in the various partitions by Cosmos DB and needs to make sense in the context of your specific scenario. The IoT Device ID is generally the "natural" partition key for IoT applications.
Reference: https://docs.microsoft.com/en-us/azure/architecture/solution-ideas/articles/iot-using-cosmos-db
NEW QUESTION # 43
Hotspot Question
You are designing an Azure Cosmos DB for NoSQL solution.
You plan to create a new container named Container1 that will store product data for automotive repair parts as shown in the following table.
The data will be stored in Container1 as shown in the following table.
You need to recommend a data partitioning solution for the database. The solution must spread the workload to minimize I/O contention.
Which column should you recommend for the physical partition key and the logical partition key?
To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 44
You have a container that stores data about families. The following is a sample document.
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:
Children who do no have parents defined will appear on the list = NO
Children who do not have parents defined will not appear on the list. This is because the document schema defines the children property as an array of objects that contain the firstName and gender properties of each child, as well as a parents property that references the id values of the parents. If a child does not have parents defined, it means that the parents property is either missing or empty for that child. Therefore, such a child will not be included in the list of children who have parents defined.
Children who have more than one pet will appear on the list multiple times. = Yes Children who have more than one pet will appear on the list multiple times. This is because the document schema defines the pets property as an array of objects that contain the givenName and type properties of each pet, as well as a children property that references the id values of the children who own the pet. If a child has more than one pet, it means that the child's id value will appear in the children property of multiple pet objects. Therefore, such a child will be included in the list of children who have pets multiple times.
Children who do no have pets defined will appear on the list = No
Children who do not have pets defined will not appear on the list. This is because the document schema defines the pets property as an array of objects that contain the givenName and type properties of each pet, as well as a children property that references the id values of the children who own the pet. If a child does not have pets defined, it means that the child's id value does not appear in the children property of any pet object.
Therefore, such a child will not be included in the list of children who have pets defined.
NEW QUESTION # 45
You have an Azure subscription that contains an Azure Cosmos DB for NoSQL account named account1.
In account1, you plan to create a container that will store the data items shown in the following table.
Each customer item will have customer sales by month values embedded.
The most executed query will return data for a matrix that aggregates the monthly sales of each business category. The matrix will use customer business categories as columns and months as rows.
You need to configure the partition key for the container. The solution must minimize the request units (RUs) required to run the query.
Which property should you use for the partition key?
Answer: B
Explanation:
The correct property to use for the partition key is customerBusinessCategoryId.
Selecting customerBusinessCategoryId as the partition key minimizes Request Units (RUs) for the following reasons:
Query Alignment: The most frequent query aggregates monthly sales per business category.
Single-Partition Efficiency: By partitioning by customerBusinessCategoryId, all customer records belonging to the same business category are stored within the same logical partition.
Reduced Overhead: The aggregation query can be routed to a single partition (or a specific set of partitions for each category) rather than scanning every partition in the container (a cross-partition query), which significantly lowers RU consumption.
Data Distribution: With 100 unique categories, the data is distributed enough to avoid major performance bottlenecks while still keeping related records together for the specific aggregation required by the matrix.
Incorrect:
Other options like customerName or customerSalesForMonth would result in expensive cross- partition queries because the data needed for a single business category's aggregate would be scattered across many different partitions.
Reference:
https://docs.azure.cn/en-us/cosmos-db/partitioning
NEW QUESTION # 46
You are troubleshooting the current issues caused by the application updates.
Which action can address the application updates issue without affecting the functionality of the application?
Answer: A
Explanation:
Explanation
Bounded staleness is frequently chosen by globally distributed applications that expect low write latencies but require total global order guarantee. Bounded staleness is great for applications featuring group collaboration and sharing, stock ticker, publish-subscribe/queueing etc.
Scenario: Application updates in con-product frequently cause HTTP status code 429 "Too many requests".
You discover that the 429 status code relates to excessive request unit (RU) consumption during the updates.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-levels
NEW QUESTION # 47
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