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Microsoft DP-420 Exam is a highly respected certification exam for professionals who want to validate their expertise in designing and implementing cloud-native applications using Microsoft Azure Cosmos DB. It is a challenging exam that requires a thorough understanding of the key concepts, features, and services of Azure Cosmos DB. Passing the exam demonstrates a candidate's ability to design and implement scalable, highly available, and globally distributed cloud-native applications on Azure Cosmos DB.
The Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB certification exam is aimed at professionals who want to demonstrate their expertise in building cloud-native applications using Azure Cosmos DB. Passing the exam validates the candidate's skills and knowledge in designing, implementing, and maintaining applications that run on Azure Cosmos DB. It also provides a credential that can help professionals advance their careers and increase their earning potential.
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Achieving the Microsoft DP-420 certification can open up new career opportunities for you as a cloud-native application developer or architect. It can help you demonstrate your expertise in designing and implementing scalable and highly available cloud-native applications using Cosmos DB, which is a critical component of the Microsoft Azure ecosystem. By passing DP-420 Exam, you can show potential employers that you have the skills and knowledge needed to develop and deploy cloud-native applications that meet the demands of modern businesses.
NEW QUESTION # 230
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: B
NEW QUESTION # 231
You have an Azure Cosmos DB database named databaset contains a container named container1. The container1 container store product data and has the following indexing policy.
Which path will be indexed?
Answer: C
Explanation:
The indexing policy has an includedPaths array that contains only one path: /product/brand/? . This means that only the properties under /product/brand will be indexed. The ? symbol indicates that only scalar values will be indexed, not arrays or objects1.
The excludedPaths array contains a single path: /* . This means that all other properties will be excluded from indexing. The * symbol indicates a wildcard that matches any property name1.
Therefore, the paths /product/category , /product/[ ]/category , and /product/brand/tailspin will not be indexed.
Topic 1, Litware, inc
Case Study
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Overview
Litware, Inc. is a United States-based grocery retailer. Litware has a main office and a primary datacenter in Seattle. The company has 50 retail stores across the United States and an emerging online presence. Each store connects directly to the internet.
Existing environment. Cloud and Data Service Environments.
Litware has an Azure subscription that contains the resources shown in the following table.
Each container in productdb is configured for manual throughput.
The con-product container stores the company's product catalog data. Each document in con-product includes a con-productvendor value. Most queries targeting the data in con-product are in the following format.
SELECT * FROM con-product p WHERE p.con-productVendor - 'name'
Most queries targeting the data in the con-productVendor container are in the following format SELECT * FROM con-productVendor pv ORDER BY pv.creditRating, pv.yearFounded Existing environment. Current Problems.
Litware identifies the following issues:
Updates to product categories in the con-productVendor container do not propagate automatically to documents in the con-product container.
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.
Requirements. Planned Changes
Litware plans to implement a new Azure Cosmos DB Core (SQL) API account named account2 that will contain a database named iotdb. The iotdb database will contain two containers named con-iot1 and con-iot2.
Litware plans to make the following changes:
Store the telemetry data in account2.
Configure account1 to support multiple read-write regions.
Implement referential integrity for the con-product container.
Use Azure Functions to send notifications about product updates to different recipients.
Develop an app named App1 that will run from all locations and query the data in account1.
Develop an app named App2 that will run from the retail stores and query the data in account2. App2 must be limited to a single DNS endpoint when accessing account2.
Requirements. Business Requirements
Litware identifies the following business requirements:
Whenever there are multiple solutions for a requirement, select the solution that provides the best performance, as long as there are no additional costs associated.
Ensure that Azure Cosmos DB costs for IoT-related processing are predictable.
Minimize the number of firewall changes in the retail stores.
Requirements. Product Catalog Requirements
Litware identifies the following requirements for the product catalog:
Implement a custom conflict resolution policy for the product catalog data.
Minimize the frequency of errors during updates of the con-product container.
Once multi-region writes are configured, maximize the performance of App1 queries against the data in account1.
Trigger the execution of two Azure functions following every update to any document in the con-product container.
NEW QUESTION # 232
You have an Apache Spark pool in Azure Synapse Analytics that runs the following Python code in a notebook.
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:
New and updated orders will be added to contoso-erp.orders: Yes
The code performs bulk data ingestion from contoso-app: No
Both contoso-app and contoso-erp have Analytics store enabled: Yes
The code uses the spark.readStream method to read data from a container named orders in a database named contoso-app. The data is then filtered by a condition and written to another container named orders in a database named contoso-erp using the spark.writeStream method. The write mode is set to "append", which means that new and updated orders will be added to the destination container1.
The code does not perform bulk data ingestion from contoso-app, but rather stream processing. Bulk data ingestion is a process of loading large amounts of data into a data store in batches. Stream processing is a process of continuously processing data as it arrives in real-time2.
Both contoso-app and contoso-erp have Analytics store enabled, because they are both accessed by Spark pools using the spark.cosmos.oltp method. This method requires that the containers have Analytics store enabled, which is a feature that allows Spark pools to query data stored in Azure Cosmos DB containers using SQL APIs3.
NEW QUESTION # 233
Hotspot Question
You have an Azure Cosmos DB for NoSQL database that hosts a container named Container1.
Container1 stores order details, including the following properties:
- OrderNumber (a number)
- OrderDate (a date)
You need to write a query that returns the following for each order:
- OrderNumber
- PeriodDate (as the first day of the calendar year based on orderDate) How should you complete the query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point
Answer:
Explanation:
NEW QUESTION # 234
You are designing a data model for an Azure Cosmos DB for NoSQL account.
What are the partition limits for request units per second (RU/s) and storage? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 235
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