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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB |
| Exam Number: | DP-420 |
| Available Languages: | English, Chinese (Simplified), Japanese |
| Certificate Validity Period: | 12 months |
| Exam Price: | $165 USD |
| Exam Duration: | 120 minutes |
| Exam Format: | Multiple-response, Practical lab scenarios, Multiple-choice, Case studies, Drag-and-drop |
| Related Certifications: | Microsoft Certified: Azure Developer Associate Microsoft Certified: Azure Solutions Architect Expert |
| Real Exam Qty: | 40-60 |
| Passing Score: | 700 |
| 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 designed for professionals who want to enhance their skills in designing and implementing cloud-native applications using Microsoft Azure Cosmos DB. Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB certification is ideal for individuals who want to pursue a career in cloud computing and database management. DP-420 Exam is intended to test the candidates' knowledge and understanding of the different concepts, tools, and technologies that are associated with cloud-native application development.
NEW QUESTION # 114
You have an Azure Cosmos DB for NoSQL account.
The change feed is enabled on a container named invoice.
You create an Azure function that has a trigger on the change feed.
What is received by the Azure function?
Answer: B
Explanation:
Accordin g to the Azure Cosmos DB documentation 1 2 , the change feed is a persistent record of changes to a container in the order they occur. The change feed outputs the sorted list of documents that were changed in the order in which they were modified.
The Azure function that has a trigger on the ch ange feed receives all the properties of the updated items 2 .
The change feed does not include the original items or only the changed properties. The change feed also includes some system-defined properties such as _ts (the last modified timestamp) and _lsn (the logical sequence num ber) 3 .
Therefore, the correct answer is:
A). all the properties of the updated items
NEW QUESTION # 115
You have an Azure Cosmos DB for NoSQL account that contains a container named Container1.
You add a composite index to the default indexing policy of Container1. The index has the following definition.
FirstName ASC, age ASC
You plan to execute the following query against Container1.
You need to optimize the performance of the query by adding an additional index.
How should you complete the additional index? To answer, select the appropriate options in the answer area NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 116
Hotspot Question
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:
Box 1: No
Streaming Append Output Mode is an outputMode in which only the new rows in the streaming DataFrame/Dataset will be written to the sink.
This is the default mode. Use append as output mode outputMode("append") when you want to output only new rows to the output sink.
Note:
Streaming Complete Output Mode is an OutputMode in which all the rows in the streaming DataFrame/Dataset will be written to the sink every time there are some updates.
Streaming Update Output Mode is an outputMode in which only the rows that were updated in the streaming DataFrame/Dataset will be written to the sink every time there are some updates.
Box 2: No
Structured Streaming is a scalable and fault-tolerant stream processing engine built on the Spark SQL engine. You can express your streaming computation the same way you would express a batch computation on static data. The Spark SQL engine will take care of running it incrementally and continuously and updating the final result as streaming data continues to arrive.
Box 3: No
Reference:
https://sparkbyexamples.com/spark/spark-streaming-outputmode/
https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html
https://docs.microsoft.com/en-us/azure/synapse-analytics/synapse-link/how-to-query-analytical-store-spark
NEW QUESTION # 117
You have an application that queries an Azure Cosmos DB for NoSQL account.
You discover that the following two queries run frequently.
You need to minimize the request units (RUs) consumed by reads and writes.
What should you create?
Answer: D
Explanation:
You should customize your indexing policy so you can serve all necessary ORDER BY queries.
ORDER BY queries on multiple properties:
The following considerations are used when using composite indexes for queries with an ORDER BY clause with two or more properties:
* The composite index also supports an ORDER BY clause with the opposite order on all paths.
* If the composite index paths do not match the sequence of the properties in the ORDER BY clause, then the composite index can't support the query.
* The order of composite index paths (ascending or descending) should also match the order in the ORDER BY clause.
Consider the following example where a composite index is defined on properties name, age, and
_ts:
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/index-overview
NEW QUESTION # 118
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 # 119
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