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Exam AZ-305 topic 2 question 9 discussion

Actual exam question from Microsoft's AZ-305

Question #: 9
Topic #: 2

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 SQL API
D. Azure Time Series Insights

Show Suggested Answer

Suggested Answer: CD 🗳️

by Eltooth at Dec. 16, 2021, 5:50 a.m.

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manojchavan

Highly Voted 3 years, 2 months ago

C and D are correect: Need to find a service to store and query the data. A. Azure Table Storage: You can't query data. B. Azure Event Grid: You can't store or query data. C. Azure Cosmos DB SQL API: You can store and query data. D. Azure Time Series Insights: You can store and query data.

upvoted 55 times

willybsmith

10 months, 2 weeks ago

Not so sure about Table Storage. According to https://learn.microsoft.com/en-us/azure/storage/tables/table-storage-overview : Azure Table storage stores large amounts of structured data. The service is a NoSQL datastore which accepts authenticated calls from inside and outside the Azure cloud. You can use Table storage to store and query huge sets of structured, non-relational data, and your tables will scale as demand increases. Sounds like a better fit than Cosmos DB in this case perhaps?

upvoted 3 times

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Eltooth

Highly Voted 3 years, 6 months ago

C & D appear to be correct. Cosmos dB SQL API is somewhat confusing as an accurate answer though: https://docs.microsoft.com/en-gb/azure/cosmos-db/introduction#solutions-that-benefit-from-azure-cosmos-db

upvoted 22 times

Eltooth

3 years, 6 months ago

https://docs.microsoft.com/en-gb/azure/cosmos-db/use-cases#iot-and-telematics

upvoted 8 times

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[Removed]

Most Recent 7 months ago

Selected Answer: CD

C & D are correct

upvoted 2 times

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Thanveer

7 months, 1 week ago

C. Azure Cosmos DB SQL API D. Azure Time Series Insights

upvoted 1 times

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Lazylinux

1 year, 1 month ago

Selected Answer: CD

Given answer CD is correct

upvoted 1 times

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MAKH83

1 year, 5 months ago

I think its Event Grid and Time Series Insights: Azure Event Grid is used at different stages of data pipelines to achieve a diverse set of integration goals. MQTT messaging. IoT devices and applications can communicate with each other over MQTT. Event Grid can also be used to route MQTT messages to Azure services or custom endpoints for further data analysis, visualization, or storage. This integration with Azure services enables you to build data pipelines that start with data ingestion from your IoT devices. https://learn.microsoft.com/en-us/azure/event-grid/overview

upvoted 1 times

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ManosCaptain

1 year, 6 months ago

Appeared on 11/21/2023

upvoted 5 times

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felipeaol

1 year, 10 months ago

Selected Answer: CD

C and D

upvoted 1 times

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NotMeAnyWay

2 years, 2 months ago

Selected Answer: CD

C. Azure Cosmos DB SQL API D. Azure Time Series Insights C. Azure Cosmos DB SQL API: Azure Cosmos DB is a globally distributed, multi-model database service that is designed for high throughput and low-latency scenarios. The SQL API for Cosmos DB provides a JSON-based, document-oriented database that can be used to store and query the IoT data. It can handle large volumes of data and scale horizontally, making it suitable for the high volume of records generated by the IoT devices. D. Azure Time Series Insights: This is an Azure service specifically designed for analyzing time-series data in near real-time. It can ingest, store, and query large amounts of time-series data generated by IoT devices. It also provides visualization capabilities to monitor and explore the data, which makes it suitable for the described scenario.

upvoted 8 times

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zellck

2 years, 3 months ago

Same as Question 20. https://www.examtopics.com/discussions/microsoft/view/94045-exam-az-305-topic-2-question-20-discussion

upvoted 3 times

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zellck

2 years, 3 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 5 times

zellck

2 years, 3 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 4 times

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[Removed]

2 years, 4 months ago

The Time Series Insights (TSI) service is being deprecated. We will likely see Azure Data Explorer as a replacement for a real time ("hot path") data store option. https://learn.microsoft.com/en-us/azure/time-series-insights/migration-to-adx https://learn.microsoft.com/en-us/azure/architecture/data-guide/scenarios/time-series#dataflow

upvoted 8 times

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