Question 848 of 982

Describe an analytics workload on Azure →hardMultiple ChoiceObjective-mapped

DP-900 Describe an analytics workload on Azure Practice Question

This DP-900 practice question tests your understanding of describe an analytics workload on azure. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

A company is migrating their on-premises data warehouse, which is built on a Netezza appliance, to Azure. The data warehouse contains over 10 terabytes of data and supports complex BI queries with multiple joins and aggregations. The company requires a cloud-based solution that provides massively parallel processing (MPP) to handle large-scale queries efficiently. They also need to integrate with existing ETL tools like Azure Data Factory and provide native connectivity to Power BI. Which Azure service should they choose?

Question 1hardmultiple choice

Read the full NAT/PAT explanation →

A
Azure SQL Database
Why wrong: Azure SQL Database is a relational database optimized for OLTP, not for large-scale data warehousing. It lacks the MPP architecture needed for complex queries over petabytes of data.
B
Azure Databricks
Why wrong: Azure Databricks is a unified analytics platform that can perform data engineering and ML, but it is not a dedicated MPP data warehouse. It would require more custom development to match a data warehouse experience.
C
Azure Synapse Analytics dedicated SQL pool
Dedicated SQL pool provides MPP capabilities for fast query performance on large datasets. It is designed for cloud data warehousing and seamlessly integrates with Azure Data Factory and Power BI.
D
Azure HDInsight
Why wrong: Azure HDInsight is a managed Hadoop/Spark cluster that can be used for big data processing, but it is more IaaS-like and requires more management. It is not a dedicated SQL data warehouse with native BI integrations.

Full breakdown with real-world context →

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Azure Synapse Analytics dedicated SQL pool

Azure Synapse Analytics dedicated SQL pool is the correct choice because it provides massively parallel processing (MPP) architecture designed for petabyte-scale data warehousing, exactly matching the 10+ TB requirement. It natively integrates with Azure Data Factory for ETL and offers built-in Power BI connectivity via the T-SQL endpoint, supporting complex BI queries with multiple joins and aggregations.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✗
Azure SQL Database
Why it's wrong here
Azure SQL Database is a relational database optimized for OLTP, not for large-scale data warehousing. It lacks the MPP architecture needed for complex queries over petabytes of data.
✗
Azure Databricks
Why it's wrong here
Azure Databricks is a unified analytics platform that can perform data engineering and ML, but it is not a dedicated MPP data warehouse. It would require more custom development to match a data warehouse experience.
✓
Azure Synapse Analytics dedicated SQL pool
Why this is correct
Dedicated SQL pool provides MPP capabilities for fast query performance on large datasets. It is designed for cloud data warehousing and seamlessly integrates with Azure Data Factory and Power BI.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure HDInsight
Why it's wrong here
Azure HDInsight is a managed Hadoop/Spark cluster that can be used for big data processing, but it is more IaaS-like and requires more management. It is not a dedicated SQL data warehouse with native BI integrations.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse Azure Databricks (a Spark-based analytics platform) with a data warehouse, overlooking that Synapse dedicated SQL pool is the only option that provides native MPP, T-SQL support, and direct Power BI connectivity for large-scale BI workloads.

Detailed technical explanation

How to think about this question

Azure Synapse dedicated SQL pool distributes data across 60 distributions using hash-based partitioning, enabling parallel query execution across multiple compute nodes. Under the hood, it uses a control node to coordinate queries and compute nodes to process data in parallel, achieving linear scalability. In real-world scenarios, a 10 TB fact table with star-schema joins can be scanned and aggregated in seconds due to columnar storage and automatic query distribution.

KKey Concepts to Remember

Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.

TExam Day Tips

Watch for words such as best, first, most likely and least administrative effort.
Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this DP-900 question test?

Describe an analytics workload on Azure — This question tests Describe an analytics workload on Azure — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Azure Synapse Analytics dedicated SQL pool — Azure Synapse Analytics dedicated SQL pool is the correct choice because it provides massively parallel processing (MPP) architecture designed for petabyte-scale data warehousing, exactly matching the 10+ TB requirement. It natively integrates with Azure Data Factory for ETL and offers built-in Power BI connectivity via the T-SQL endpoint, supporting complex BI queries with multiple joins and aggregations.

What should I do if I get this DP-900 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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