Exam AZ-305 topic 2 question 9 discussion

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.

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

C & D are correct

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

Given answer CD is correct

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

Appeared on 11/21/2023

C and D

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.

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

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.

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

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

MongoDB API is the right answer...

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

For those who picked B as a correct option, you may have confused Azure Event Grid with Azure Event Hub.

C & D correct answers