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Exam AZ-305 topic 4 question 77 discussion

Actual exam question from Microsoft's AZ-305
Question #: 77
Topic #: 4
[All AZ-305 Questions]

You have a multi-tier app named App1 and an Azure SQL database named SQL1. The backend service of App1 writes data to SQL1. Users use the App1 client to read the data from SQL1.

During periods of high utilization, the users experience delays retrieving the data.

You need to minimize how long it takes for data requests.

What should you include in the solution?

  • A. Azure Cache for Redis
  • B. Azure Content Delivery Network (CDN)
  • C. Azure Data Factory
  • D. Azure Synapse Analytics
Show Suggested Answer Hide Answer
Suggested Answer: A 🗳️

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sawanti
Highly Voted 1 year, 3 months ago
Selected Answer: A
Pretty straightforward this time: A. Azure Cache for Redis - Cache the data so users can achieve them quicker B. Azure Content Delivery Network (CDN) - There isn't any issue with the networking C. Azure Data Factory - This tool is for orchestration, not for enhancing anything existing D. Azure Synapse Analytics - Also an orchestration tool with additional data warehouse capabilities, not relevant in this case
upvoted 11 times
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NotMeAnyWay
Highly Voted 1 year, 5 months ago
Selected Answer: A
A. Azure Cache for Redis Explanation: Azure Cache for Redis provides an in-memory data store based on open-source software Redis. It can be used to cache the most frequently accessed data, thus significantly reducing latency and increasing throughput for the application data requests. By storing data that's accessed often in a cache, you can improve app performance by reducing the load on your main database and make the app more responsive even during high traffic. Azure Content Delivery Network (CDN) is more for delivering static content to users, and not designed for database queries.
upvoted 7 times
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SeMo0o0o0o
Most Recent 3 weeks ago
Selected Answer: A
A is correct
upvoted 1 times
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Lazylinux
7 months, 2 weeks ago
Selected Answer: A
Given Answer A is correct Distributed, in-memory, scalable solution providing super-fast data access. As traffic and demands on your app increase, scale performance simply and cost-effectively. Add a quick caching layer to the application architecture to handle thousands of simultaneous users with near-instant speed—all with the benefits of a fully managed service. Features: * Superior throughput and performance to handle millions of requests per second with down to sub-millisecond latency * Fully managed service with automatic patching, updates, scaling, and provisioning so you can focus on development * RedisBloom, RediSearch, RedisJSON, and RedisTimeSeries module integration, supporting data analysis, search, and streaming * Powerful capabilities including clustering, active geo-replication, Redis on Flash, and availability of up to 99.999 percent
upvoted 1 times
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azureguyx
1 year, 3 months ago
Selected Answer: A
"Azure Cache for Redis" is the correct answer. I think the other solutions are like using a shotgun to kill flies.
upvoted 3 times
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zellck
1 year, 9 months ago
Selected Answer: A
A is the answer. https://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cache-overview Azure Cache for Redis provides an in-memory data store based on the Redis software. Redis improves the performance and scalability of an application that uses backend data stores heavily. It's able to process large volumes of application requests by keeping frequently accessed data in the server memory, which can be written to and read from quickly. Redis brings a critical low-latency and high-throughput data storage solution to modern applications.
upvoted 5 times
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OPT_001122
1 year, 10 months ago
Selected Answer: A
A. Azure Cache for Redis
upvoted 2 times
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VBK8579
1 year, 10 months ago
Selected Answer: A
A. Azure Cache for Redis
upvoted 2 times
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[Removed]
1 year, 10 months ago
Selected Answer: A
Caching: Implementing a caching mechanism, such as Redis, can help to reduce the number of requests made to the Azure SQL database. This can improve the performance of data retrieval for users.
upvoted 3 times
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A (35%)
C (25%)
B (20%)
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