DP-200 Azure Real-Time and Batch Analytics

Question 1

Which Azure service is the managed platform for running Apache Spark and Apache Hadoop clusters for large-scale batch processing?

Accepted Answer

Azure HDInsight

Answer

Azure HDInsight is Microsoft's fully managed cloud distribution of open-source frameworks including Hadoop, Spark, Kafka, and HBase.

Question 2

What Azure service provides a fully managed, serverless Apache Spark environment integrated with Azure Synapse Analytics?

Accepted Answer

Azure Synapse Spark pool

Answer

Azure Synapse Spark pools provide on-demand, auto-scaling Apache Spark clusters within the Synapse workspace, billed per second of use.

Question 3

In Azure Event Hubs, what is a consumer group?

Accepted Answer

A logical view of an Event Hub that enables multiple consumers to read the stream independently at their own pace

Answer

Consumer groups allow multiple downstream consumers (e.g., Stream Analytics, Databricks, a custom app) to each read the full event stream independently without interfering.

Question 4

Which Azure service is best suited for orchestrating complex data workflows that include both batch and real-time components with dependencies between steps?

Accepted Answer

Azure Data Factory

Answer

Azure Data Factory is a cloud-scale data integration service that orchestrates both batch ETL and hybrid data pipelines with rich dependency and scheduling capabilities.

Question 5

In a lambda architecture built on Azure, what is the role of the batch layer?

Accepted Answer

To reprocess all historical data periodically to produce accurate, comprehensive batch views

Answer

The batch layer processes the complete historical dataset to produce accurate batch views, compensating for any errors in the speed layer.

DP-200 - Microsoft Azure Data Solutions Practice Test

DP-200 - Microsoft Azure Data Solutions Practice Test

DP-200 Azure Real-Time and Batch Analytics