Exam DP-900 topic 1 question 134 discussion

I never come across time series in any of the modules.

Link for time series https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/analytical-data-stores Telemetry and time series databases are an append-only collection of objects. Telemetry databases efficiently index data in a variety of column stores and in-memory structures, making them the optimal choice for storing and analyzing vast quantities of telemetry and time series data.

option B

Was in the exam 26/03

A time series database such as InfluxDB, TimescaleDB or OpenTSDB would be a good choice for storing and analyzing temperature data from internet-connected temperature sensors. Time series databases are designed to handle high-frequency, time-stamped data, and they are optimized for storing and querying large amounts of time-series data. They provide built-in support for time-based queries and aggregations, which can be useful for analyzing temperature trends over time. These databases also provide efficient compression and data retention policies that allow the data to be stored for long periods of time with minimal storage overhead, making it a good fit for IoT scenarios where data is generated over time.

i think b. time series

Was in exam 11/08

01/08.......EXAM

Exam: 19.07.22

Answer: D - columnar Column-family databases: Examples: Weather and other time-series data https://docs.microsoft.com/en-us/azure/architecture/guide/technology-choices/data-store-overview

Because in Q internet in mentioned the answer is B

https://docs.microsoft.com/en-us/azure/architecture/guide/technology-choices/data-store-overview#time-series-databases

Time-series is not a data store, it is a data-type. You use Columlar datastore for it.

Time series data is a set of values organized by time. Time series databases typically collect large amounts of data in real time from a large number of sources. Updates are rare, and deletes are often done as bulk operations. Although the records written to a time-series database are generally small, there are often a large number of records, and total data size can grow rapidly.

Agree!

I think it's correct