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Exam AZ-305 topic 2 question 20 discussion

Actual exam question from Microsoft's AZ-305
Question #: 20
Topic #: 2
[All AZ-305 Questions]

You are planning an Azure IoT Hub solution that will include 50,000 IoT devices.

Each device will stream data, including temperature, device ID, and time data. Approximately 50,000 records will be written every second. The data will be visualized in near real time.

You need to recommend a service to store and query the data.

Which two services can you recommend? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

  • A. Azure Table Storage
  • B. Azure Event Grid
  • C. Azure Cosmos DB for NoSQL
  • D. Azure Time Series Insights
Show Suggested Answer Hide Answer
Suggested Answer: CD 🗳️
by Sammy1989 at Jan. 5, 2023, 4:59 p.m.

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Sammy1989
Highly Voted 1 year, 11 months ago
Cleared the exam on 01/05/23 with 871 / 1000. Chose CD. There is a similar question on ET where the option was SQL DB API
upvoted 20 times
OPT_001122
1 year, 10 months ago
Thanks for mentioning the exam date
upvoted 1 times
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rgargar78
Highly Voted 1 year, 10 months ago
A. Azure Table Storage -> Throughput: scalability limit of 20,000 operations/s. -> Not enough for this question B. Azure Event Grid -> It is only a broker, not a storage solution Therefore, C and D are right Refs: https://learn.microsoft.com/en-us/azure/cosmos-db/table/ https://learn.microsoft.com/en-us/azure/event-grid/overview
upvoted 17 times
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SeMo0o0o0o
Most Recent 3 weeks, 5 days ago
Selected Answer: CD
C & D are correct
upvoted 1 times
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JimmyYop
10 months, 3 weeks ago
appeared in Exam 01/2024
upvoted 6 times
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OrangeSG
1 year, 1 month ago
Selected Answer: CD
The Time Series Insights (TSI) service will no longer be supported after March 2025. Consider migrating existing TSI environments to alternative solutions (such as Azure Data Explorer) as soon as possible. Azure Data Explorer is a fast, fully managed data analytics service for real-time and time-series analysis on large volumes of data streams from business activities, human operations, applications, websites, Internet of Things (IoT) devices, and other sources. https://learn.microsoft.com/en-us/azure/time-series-insights/migration-to-adx
upvoted 2 times
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NagaByrd
1 year, 8 months ago
Selected Answer: CD
Same as Question #9
upvoted 4 times
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NotMeAnyWay
1 year, 8 months ago
Selected Answer: CD
C. Azure Cosmos DB for NoSQL D. Azure Time Series Insights Both Azure Cosmos DB and Azure Time Series Insights are suitable services for storing and querying the data in this scenario. C. Azure Cosmos DB for NoSQL is a globally distributed, multi-model database service that can handle large amounts of data with low-latency and high throughput. Its support for various consistency levels and partitioning strategies makes it suitable for handling IoT data at scale. D. Azure Time Series Insights is a fully managed, real-time analytics service specifically designed for time-series data generated by IoT devices. It provides storage, visualization, and advanced querying capabilities for time-series data, making it an ideal choice for handling data from a large number of IoT devices and visualizing it in near real-time.
upvoted 8 times
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NotMeAnyWay
1 year, 8 months ago
Selected Answer: CD
C. Azure Cosmos DB for NoSQL D. Azure Time Series Insights Both Azure Cosmos DB and Azure Time Series Insights are suitable services for storing and querying the data in this scenario. C. Azure Cosmos DB for NoSQL is a globally distributed, multi-model database service that can handle large amounts of data with low-latency and high throughput. Its support for various consistency levels and partitioning strategies makes it suitable for handling IoT data at scale. D. Azure Time Series Insights is a fully managed, real-time analytics service specifically designed for time-series data generated by IoT devices. It provides storage, visualization, and advanced querying capabilities for time-series data, making it an ideal choice for handling data from a large number of IoT devices and visualizing it in near real-time.
upvoted 1 times
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zellck
1 year, 9 months ago
Selected Answer: CD
CD is the answer. https://learn.microsoft.com/en-us/azure/architecture/solution-ideas/articles/iot-using-cosmos-db Azure Cosmos DB is ideal for IoT workloads because it's capable of: - Ingesting device telemetry data at high rates, and return indexed queries with low latency and high availability. - Storing JSON format from different device vendors, which provides flexibility in payload schema. - By using wire protocol–compatible API endpoints for Cassandra, MongoDB, SQL, Gremlin, etcd, and table databases, and built-in support for Jupyter Notebook files.
upvoted 4 times
zellck
1 year, 9 months ago
https://learn.microsoft.com/en-us/azure/time-series-insights/overview-what-is-tsi Azure Time Series Insights Gen2 is an open and scalable end-to-end IoT analytics service featuring best-in-class user experiences and rich APIs to integrate its powerful capabilities into your existing workflow or application. You can use it to collect, process, store, query and visualize data at Internet of Things (IoT) scale--data that's highly contextualized and optimized for time series. Azure Time Series Insights Gen2 is designed for ad hoc data exploration and operational analysis allowing you to uncover hidden trends, spotting anomalies, and conduct root-cause analysis. It's an open and flexible offering that meets the broad needs of industrial IoT deployments.
upvoted 2 times
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OPT_001122
1 year, 10 months ago
Selected Answer: CD
C. Azure Cosmos DB for NoSQL D. Azure Time Series Insights
upvoted 2 times
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tfulanchan
1 year, 10 months ago
MongoDB...
upvoted 1 times
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Beng_ali
1 year, 10 months ago
Selected Answer: CD
CD is correct.
upvoted 2 times
Liveroso
1 year, 10 months ago
C. Azure Cosmos DB for NoSQL D. Azure Time Series Insights Azure Cosmos DB is a globally distributed, multi-model database service that can be used to store and query large amounts of data with low latency. Cosmos DB supports various data models, including NoSQL, and is designed for high throughput and low latency. It can be used to store the data from the IoT devices and can handle the high write and read throughput required for the solution. Azure Time Series Insights is a time-series data platform that is designed for analyzing time-stamped data. It can be used to visualize the data from the IoT devices in near real-time, providing a way to monitor and analyze the device data in real-time. It also has built-in support for IoT data, making it a good choice for this scenario.
upvoted 2 times
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maku067
1 year, 11 months ago
Selected Answer: CD
Seems correct.
upvoted 4 times
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jage01
1 year, 11 months ago
Selected Answer: CD
CD Real-time access with fast read and write latencies globally, and throughput and consistency all backed by SLAs https://learn.microsoft.com/en-us/azure/cosmos-db/introduction Azure Time Series Insights is a fully managed analytics, storage, and visualization service that makes it simple to explore and analyze billions of IoT events simultaneously. https://learn.microsoft.com/en-us/azure/time-series-insights/time-series-insights-explorer
upvoted 3 times
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