The answer is Azure HDInsight. This is the correct choice because HDInsight is a fully managed, open-source analytics service that provides pre-configured clusters for the entire Azure managed Hadoop ecosystem, including HDFS, Hive, HBase, and Spark, allowing you to run large-scale data workloads without handling infrastructure provisioning or cluster maintenance. On the AZ-900 exam, this question tests your understanding of Azure’s big data and analytics services, often appearing alongside other managed services like Azure Databricks or Azure Synapse Analytics. A common trap is confusing HDInsight with Databricks—remember that HDInsight is the native Hadoop ecosystem service, while Databricks is optimized for Apache Spark and collaborative analytics. For a quick memory tip, think of “HD” as “Hadoop Distributed” and “Insight” as the analytics you gain from the managed clusters.
AZ-900 Describe Azure architecture and services Practice Question
This AZ-900 practice question tests your understanding of describe azure architecture and services. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
Which Azure service provides managed hosting for Hadoop ecosystems including HDFS, Hive, HBase, and Spark?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Azure HDInsight
Azure HDInsight is the correct answer because it is a fully managed, open-source analytics service specifically designed for running popular Hadoop ecosystems such as HDFS, Hive, HBase, and Spark on Azure. It provides pre-configured clusters with these components, allowing you to process large-scale data workloads without manual infrastructure management.
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 Databricks
Why it's wrong here
Databricks is optimized specifically for Spark with collaborative notebooks; HDInsight supports a broader Hadoop ecosystem.
✗
Azure Synapse Analytics
Why it's wrong here
Synapse is an integrated analytics workspace; HDInsight provides dedicated managed clusters for open-source frameworks.
Read the scenario before looking for a memorised answer.
✗
Azure Data Factory
Why it's wrong here
Data Factory orchestrates data movement; HDInsight provides the compute clusters for processing.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Azure Databricks (a Spark-focused service) with HDInsight, failing to recognize that HDInsight is the only option that provides a full Hadoop ecosystem including HDFS, Hive, and HBase.
Detailed technical explanation
How to think about this question
HDInsight leverages the Hortonworks Data Platform (HDP) distribution of Hadoop, which includes YARN for resource management and the Hadoop Distributed File System (HDFS) for storage. It supports multiple cluster types (e.g., Hadoop, Spark, HBase, Interactive Query with Hive LLAP) and integrates with Azure Blob Storage or Data Lake Storage via the WASB or ABFS drivers, enabling compute-storage separation. A real-world scenario is migrating on-premises Hadoop workloads to the cloud while maintaining compatibility with existing HiveQL scripts and HBase tables.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AZ-900 question in full detail.
Describe Azure architecture and services — This question tests Describe Azure architecture and services — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Azure HDInsight — Azure HDInsight is the correct answer because it is a fully managed, open-source analytics service specifically designed for running popular Hadoop ecosystems such as HDFS, Hive, HBase, and Spark on Azure. It provides pre-configured clusters with these components, allowing you to process large-scale data workloads without manual infrastructure management.
What should I do if I get this AZ-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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Question Discussion
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