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DP-203 · topic practice

Design and implement data storage practice questions

Practise Microsoft Azure Data Engineer Associate DP-203 Design and implement data storage practice questions — original exam-style scenarios with answer choices, explanations, and analysis of common mistakes.

Courseiva uses original exam-style practice questions designed for learning and revision. The goal is to understand the concepts, recognise exam patterns, and improve through explanations — not memorise copied exam dumps.

Reviewed byJohnson Ajibi· MSc IT Security
20 questionsDomain: Design and implement data storage
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What the exam tests

What to know about Design and implement data storage

Design and implement data storage questions test whether you can apply the concept in context, not just recognise a definition.

How the topic appears in realistic exam-style scenarios.

Which detail in the question changes the correct answer.

How to eliminate plausible but wrong options.

How to connect the question back to the wider exam objective.

Watch out for

Common Design and implement data storage exam traps

  • ▸Answering from memory before reading the full scenario.
  • ▸Missing a constraint such as cost, availability, security, scope or command context.
  • ▸Choosing a broad answer when the question asks for the most specific fix.
  • ▸Ignoring why the wrong options are tempting.

Practice set

Design and implement data storage questions

20 questions · select your answer, then reveal the explanation

Question 1mediummultiple choice
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A company is designing a data lake solution on Azure Data Lake Storage Gen2. Data will be ingested from IoT devices at high frequency (every 5 seconds). Each device sends a JSON payload of 2 KB. The data must be stored in a hierarchical namespace and partitioned by date and device ID to optimize query performance. Which partition strategy should be used?

Question 2hardmultiple choice
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You are designing a near-real-time analytics pipeline for a retail company. Transaction data is generated in Azure SQL Database and must be replicated to Azure Synapse Analytics (dedicated SQL pool) with less than 5 minutes latency. The source table has 50 million rows and 200 columns, but only 30 columns are needed for analytics. Which approach should you recommend?

Question 3easymultiple choice
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A data engineer needs to store semi-structured JSON log files from a web application. Each log entry is about 1 KB. The logs are rarely queried (once a month) and must be retained for 7 years for compliance. The solution must minimize storage cost. Which storage option should be used?

Question 4mediummultiple choice
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You are designing a solution to store streaming data from multiple sources into Azure Data Lake Storage Gen2. The data must be organized by ingestion time and source system. Each source system produces data in a different format: CSV, JSON, and Parquet. The solution must allow efficient querying using Azure Synapse Serverless SQL and must support partitioning on ingestion date. What is the recommended folder structure?

Question 5hardmultiple choice
Read the full NAT/PAT explanation →

A healthcare company stores sensitive patient data in Azure Data Lake Storage Gen2. They need to ensure that only authorized users can access data and that all access is audited. They also need to prevent data from being accessed by unauthorized Azure services. Which combination of security features should be used?

Question 6mediummulti select
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Which TWO of the following are supported storage options for use as a source in Azure Synapse Pipeline Copy Activity?

Question 7hardmulti select
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Which THREE of the following are required to configure a managed private endpoint for Azure Data Factory when connecting to an Azure SQL Database that has a private endpoint?

Question 8mediummultiple choice
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You are reviewing a copy job configuration in Azure Data Factory that copies Parquet files from Azure Data Lake Storage Gen2 to Azure Synapse Analytics. The exhibit shows the job settings. If the source folder contains a file that is not in Parquet format (e.g., a CSV file), what will happen?

Exhibit

Refer to the exhibit.

```json
{
  "data": [
    {
      "name": "order_data",
      "path": "orders/*.parquet",
      "partitionBy": ["year", "month", "day"],
      "format": "parquet",
      "options": {
        "compression": "snappy"
      }
    }
  ],
  "source": {
    "provider": "AzureDataLakeStorage",
    "connectionString": "DefaultEndpointsProtocol=https;AccountName=storagedatalake;AccountKey=...;EndpointSuffix=core.windows.net",
    "container": "data"
  },
  "sink": {
    "provider": "AzureSynapseAnalytics",
    "table": "dbo.orders",
    "staging": {
      "linkedServiceName": "AzureDataLakeStorage",
      "folderPath": "staging"
    }
  },
  "copyBehavior": "MergeFiles",
  "faultTolerance": {
    "skipIncompatibleFiles": true,
    "skipIncompatibleRows": true
  }
}
```
Question 9easymultiple choice
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You are an administrator for an Azure Synapse Analytics dedicated SQL pool. You execute the T-SQL statements shown in the exhibit. The external table 'dbo.Orders' is created. Which statement about querying this external table is true?

Exhibit

Refer to the exhibit.

```sql
CREATE EXTERNAL DATA SOURCE MyDataSource
WITH (
    LOCATION = 'abfss://data@storagedatalake.dfs.core.windows.net',
    TYPE = HADOOP,
    CREDENTIAL = MyCredential
);

CREATE EXTERNAL FILE FORMAT MyFileFormat
WITH (
    FORMAT_TYPE = PARQUET,
    DATA_COMPRESSION = 'org.apache.hadoop.io.compress.SnappyCodec'
);

CREATE EXTERNAL TABLE dbo.Orders (
    OrderID INT,
    CustomerID INT,
    OrderDate DATE,
    TotalAmount DECIMAL(10,2)
)
WITH (
    LOCATION = '/orders/',
    DATA_SOURCE = MyDataSource,
    FILE_FORMAT = MyFileFormat
);
```
Question 10easymultiple choice
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A company is designing a data storage solution for IoT device telemetry. Each device sends a JSON payload every second. The data must be stored in a way that supports real-time dashboards and long-term analytics with low latency. Which Azure data store should be used for the ingestion layer?

Question 11mediummultiple choice
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A data engineer needs to store JSON documents that are frequently updated by multiple users concurrently. The solution must support optimistic concurrency control and have built-in indexing on all fields. Which Azure data store should be used?

Question 12hardmultiple choice
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A company stores sensitive customer data in Azure Data Lake Storage Gen2. They need to implement a data retention policy where data older than 90 days is automatically moved to the 'cold' access tier, and data older than 365 days is deleted. Which Azure feature should be used to automate this?

Question 13mediummulti select
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A company is designing a data storage solution for a global application that requires low-latency reads and writes for user session data. The solution must support automatic failover across multiple Azure regions. Which TWO Azure services meet these requirements?

Question 14hardmulti select
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A company ingests streaming data from multiple sources into Azure Event Hubs. The data must be stored in Azure Data Lake Storage Gen2 in Parquet format, partitioned by date and hour. The solution must minimize cost and processing latency. Which THREE actions should be taken?

Question 15hardmultiple choice
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A company uses Azure Synapse Analytics dedicated SQL pool to store sales data. The sales table is partitioned by month and has a clustered columnstore index. Over time, the performance of queries filtering on a specific month has degraded. The data engineer suspects high rowgroup elimination. Which action should be taken to improve performance?

Question 16easymultiple choice
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A company stores IoT sensor data in Azure Blob Storage. The data is appended every minute and must be queried in near real-time using a SQL interface. Which Azure service should be used to enable this?

Question 17mediummultiple choice
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A company is designing a data lake on Azure Data Lake Storage Gen2. Data comes from multiple sources with varying schemas. The team must minimize storage costs while keeping all data available for future processing. Which storage tier should they use for the raw ingested data?

Question 18hardmultiple choice
Read the full network assurance explanation →

You are designing a solution to store telemetry data from millions of devices. Each device sends a JSON payload every 5 seconds. The data must be partitioned by device ID and time for efficient querying and must support real-time streaming ingestion. Which Azure storage solution should you recommend?

Question 19easymultiple choice
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A data engineer needs to store CSV files containing customer data in Azure Blob Storage. The files must be encrypted at rest using a customer-managed key stored in Azure Key Vault. What should they configure?

Question 20mediummultiple choice
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A company uses Azure SQL Database for an OLTP application. They need to run complex analytical queries without impacting OLTP performance. Which solution should they implement?

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Frequently asked questions

What does the DP-203 exam test about Design and implement data storage?
Design and implement data storage questions test whether you can apply the concept in context, not just recognise a definition.
How should I use these practice questions?
Select your answer before revealing the explanation. Then read why each option is right or wrong — this active recall approach builds retention far faster than re-reading notes.
Can I practise just Design and implement data storage questions in a focused session?
Yes — the session launcher on this page draws every question from the Design and implement data storage domain. Use a 10-question session first to gauge your baseline, then move to 20 or 30 once the weak spots are clear.
Where can I practise other DP-203 topics?
Use the topic links above to move to related areas, or go back to the DP-203 question bank to see all topics.
Are these real exam questions or dumps?
These are original practice questions written to test the same concepts the DP-203 exam covers. They are not copied from any real exam or dump site.