Microsoft DP-201 Designing an Azure Data Solution Free Practice Test — 30 Questions

Question 1

A retail company is analyzing its sales data to optimize inventory management. They have a dataset containing sales transactions, including product IDs, quantities sold, and timestamps. The company wants to implement a solution that allows them to predict future sales based on historical data. Which of the following approaches would best facilitate this predictive analysis while ensuring scalability and performance?

Accepted Answer

Implementing Azure Machine Learning to build and deploy predictive models using historical sales data.

Question 2

A company is planning to migrate its on-premises SQL Server database to Azure and is considering using Azure SQL Database. They have a requirement for high availability and disaster recovery. Which Azure feature should they implement to ensure that their database can automatically failover to a standby database in case of a regional outage, while also minimizing downtime and data loss?

Accepted Answer

Auto-failover groups

Question 3

A financial services company is implementing a data lifecycle management strategy to optimize its data storage costs while ensuring compliance with regulatory requirements. The company has classified its data into three categories: critical, sensitive, and archival. Critical data must be retained for a minimum of 7 years, sensitive data for 5 years, and archival data can be deleted after 2 years. The company currently has 10 TB of critical data, 5 TB of sensitive data, and 20 TB of archival data. If the company decides to implement a tiered storage solution that moves data to lower-cost storage after its retention period, what will be the total amount of data that can be deleted after 7 years, assuming no new data is added during this period?

Accepted Answer

20 TB

Question 4

In a data processing scenario, a company is utilizing Apache Spark to analyze large datasets for real-time insights. They have a dataset containing user interactions on their e-commerce platform, which includes timestamps, user IDs, and product IDs. The company wants to calculate the average number of interactions per user over a specified time window of one hour. Given that the dataset is partitioned by user ID and the Spark job is configured to use a sliding window of 15 minutes, which of the following approaches would be the most efficient way to achieve this?

Accepted Answer

Use the `groupByKey` transformation followed by a `map` operation to calculate the average interactions per user.

Question 5

A retail company is designing a data storage solution to handle both structured and unstructured data. They need to store customer transaction records, product information, and customer reviews. The solution must ensure high availability, scalability, and low latency for real-time analytics. Which storage solution would best meet these requirements while allowing for efficient querying and analysis of both types of data?

Accepted Answer

Azure Cosmos DB

Question 6

A data scientist is preparing a dataset for training a machine learning model to predict customer churn for a telecommunications company. The dataset contains various features, including customer demographics, service usage, and billing information. The data scientist notices that the dataset has missing values, categorical variables, and outliers. Which of the following strategies should the data scientist prioritize to ensure the dataset is adequately prepared for the model training?

Accepted Answer

Impute missing values using the median for numerical features and one-hot encode categorical variables while removing outliers based on the interquartile range (IQR) method.

Question 7

A financial services company is planning to migrate its on-premises data warehouse to Azure. The data warehouse currently handles large volumes of transactional data and requires high availability and low latency for reporting. The company is considering various migration strategies, including rehosting, refactoring, and rearchitecting. Which migration strategy would best suit their needs if they want to minimize changes to their existing applications while ensuring that the performance requirements are met?

Accepted Answer

Rehosting

Question 8

A financial services company is evaluating its data architecture to support both operational reporting and advanced analytics. They are considering implementing a data lake for storing raw data and a data warehouse for structured data analysis. Given their requirements, which of the following statements best describes the advantages of using a data lake in conjunction with a data warehouse in this scenario?

Accepted Answer

A data lake allows for the storage of unstructured and semi-structured data, enabling the company to perform advanced analytics on diverse data types without the need for upfront schema design.

Question 9

A company is planning to migrate its on-premises SQL Server database to Azure SQL Database. They have a large database with a size of 500 GB and anticipate a peak workload of 2000 concurrent users. The company wants to ensure high availability and performance while keeping costs manageable. Which deployment option should they choose to best meet these requirements?

Accepted Answer

Azure SQL Database Hyperscale

Question 10

A retail company is analyzing its sales data to optimize inventory management. They have observed that the demand for a particular product follows a seasonal pattern, with sales peaking during the holiday season. The company uses a forecasting model that incorporates historical sales data, promotional activities, and economic indicators. If the company expects to sell 1,200 units of this product during the holiday season and the cost of holding inventory is $5 per unit per month, what is the total holding cost for the inventory if they decide to stock 1,500 units in anticipation of demand?

Accepted Answer

$1,500

Question 11

A multinational corporation is looking to implement a multi-cloud strategy to enhance its data processing capabilities while ensuring compliance with various regional data regulations. The company plans to use Azure for its primary data storage and processing needs, while also leveraging AWS for specific machine learning workloads. Given this scenario, which of the following considerations is most critical for ensuring seamless integration and data governance across both cloud environments?

Accepted Answer

Establishing a unified identity and access management system across both cloud platforms

Question 12

A European company is planning to launch a new mobile application that collects personal data from users, including their location, health information, and preferences. The company is aware of the General Data Protection Regulation (GDPR) and wants to ensure compliance. Which of the following actions should the company prioritize to align with GDPR requirements regarding data collection and processing?

Accepted Answer

Conduct a Data Protection Impact Assessment (DPIA) to evaluate risks associated with the data processing activities.

Question 13

A company is planning to migrate its on-premises SQL Server database to Azure SQL Database. They have a requirement to maintain high availability and disaster recovery while ensuring minimal downtime during the migration process. The database currently has a size of 500 GB and experiences a peak load of 1000 transactions per second (TPS). Which approach should the company take to design their Azure SQL Database solution to meet these requirements effectively?

Accepted Answer

Use Azure SQL Database with Active Geo-Replication and perform a staged migration using the Data Migration Assistant (DMA) to assess compatibility and then use the Azure Database Migration Service (DMS) for the actual migration.

Question 14

A retail company is analyzing customer purchasing behavior using a big data solution. They have collected data from various sources, including transaction logs, social media interactions, and customer feedback. The company wants to implement a data processing pipeline that can handle both batch and real-time data to derive insights into customer preferences. Which architecture would best support this requirement while ensuring scalability and flexibility in data processing?

Accepted Answer

Lambda Architecture

Question 15

In a large organization, the data governance team is tasked with ensuring compliance with various regulations, including GDPR and HIPAA. They are developing a framework that incorporates data stewardship, data quality, and data lifecycle management. Which of the following best describes the primary objective of implementing a data governance framework in this context?

Accepted Answer

To establish accountability for data management and ensure that data is accurate, available, and secure throughout its lifecycle.

Question 16

A data engineering team is tasked with orchestrating a complex data pipeline that involves multiple data sources, transformations, and loading processes into a data warehouse. The team decides to use Azure Data Factory (ADF) for this purpose. They need to ensure that the pipeline can handle failures gracefully and can be monitored effectively. Which approach should the team take to implement robust error handling and monitoring in their data orchestration process?

Accepted Answer

Implement retry policies for activities, use Azure Monitor for logging, and set up alerts for failures.

Question 17

A data engineer is tasked with designing a data lake solution using Azure Data Lake Storage (ADLS) for a retail company that processes large volumes of sales transactions daily. The company requires the ability to store both structured and unstructured data, and they want to ensure that the data is easily accessible for analytics and machine learning purposes. Additionally, they need to implement a security model that allows different teams to access specific datasets while maintaining compliance with data governance policies. Considering these requirements, which approach should the data engineer take to optimize the use of ADLS while ensuring security and compliance?

Accepted Answer

Implement hierarchical namespace in ADLS Gen2 to organize data and use Azure Role-Based Access Control (RBAC) for fine-grained access management.

Question 18

A company is migrating its data storage to Azure Blob Storage to handle large volumes of unstructured data. They need to ensure that their data is both secure and accessible. The company plans to implement a tiered storage strategy to optimize costs based on data access patterns. They have identified three types of data: frequently accessed data, infrequently accessed data, and rarely accessed data. Given this scenario, which storage tier should the company choose for each type of data to maximize cost efficiency while ensuring data availability?

Accepted Answer

Hot tier for frequently accessed data, Cool tier for infrequently accessed data, Archive tier for rarely accessed data

Question 19

A data analyst is tasked with visualizing sales data for a retail company to identify trends over the past five years. The analyst decides to use a combination of line charts and bar graphs to represent the data. The line chart will depict the overall sales trend, while the bar graph will show monthly sales figures for each year. Which visualization technique would best enhance the clarity of the data presentation and allow for effective comparison across different time periods?

Accepted Answer

A dual-axis chart that overlays the line chart and bar graph for direct comparison of sales trends and monthly figures.

Question 20

A retail company is analyzing its sales data to improve inventory management and customer satisfaction. They have a large volume of transactional data stored in a relational database and are considering implementing a data warehouse to facilitate complex queries and reporting. Which of the following best describes the primary advantage of using a data warehouse in this scenario?

Accepted Answer

It allows for the integration of data from multiple sources, enabling comprehensive analysis and reporting.

Question 21

A healthcare organization is implementing a new electronic health record (EHR) system that will store and manage protected health information (PHI). As part of the implementation, the organization must ensure compliance with the Health Insurance Portability and Accountability Act (HIPAA). Which of the following strategies would best ensure that the organization meets the HIPAA Privacy Rule requirements while also maintaining the integrity and confidentiality of PHI during data transmission?

Accepted Answer

Implementing end-to-end encryption for all data transmitted between the EHR system and external entities.

Question 22

A company is designing a data solution in Azure to handle large volumes of streaming data from IoT devices. They need to ensure that the data is processed in real-time and stored efficiently for further analysis. Which architectural approach should they adopt to meet these requirements while ensuring scalability and low latency?

Accepted Answer

Implement Azure Stream Analytics with Azure Event Hubs for data ingestion and Azure Data Lake Storage for long-term storage.

Question 23

A healthcare organization is implementing a new electronic health record (EHR) system that will store and manage protected health information (PHI). As part of the implementation, the organization must ensure compliance with the Health Insurance Portability and Accountability Act (HIPAA). Which of the following strategies would best ensure that the EHR system adheres to HIPAA\'s Privacy and Security Rules while minimizing the risk of data breaches?

Accepted Answer

Conducting a comprehensive risk assessment to identify vulnerabilities and implementing appropriate safeguards based on the findings.

Question 24

A multinational corporation is planning to implement a multi-cloud strategy to enhance its data processing capabilities while ensuring compliance with various regional data regulations. The company has data centers in North America and Europe and is considering using Azure and AWS for its cloud services. They need to ensure that data is processed in compliance with GDPR in Europe and CCPA in California. Which approach should the company take to effectively manage data residency and compliance across these cloud environments?

Accepted Answer

Implement a data governance framework that includes data classification, encryption, and access controls tailored to each region's regulations.

Question 25

A financial institution is implementing a new data security strategy to comply with the General Data Protection Regulation (GDPR). They need to ensure that personal data is encrypted both at rest and in transit. The institution is considering various encryption methods and their implications on performance and compliance. Which encryption approach would best balance security and performance while ensuring compliance with GDPR requirements?

Accepted Answer

Using Advanced Encryption Standard (AES) with a 256-bit key for data at rest and Transport Layer Security (TLS) for data in transit

Question 26

A company is planning to integrate its on-premises Active Directory with Azure Active Directory (Azure AD) to enable single sign-on (SSO) for its employees. The IT team is considering using Azure AD Connect for this purpose. Which of the following statements best describes the role of Azure AD Connect in this integration process?

Accepted Answer

Azure AD Connect synchronizes user identities and enables SSO by linking on-premises Active Directory accounts with Azure AD accounts, allowing users to authenticate using their existing credentials across both environments.

Question 27

A company is evaluating its data storage strategy for a new application that will handle large volumes of data with varying access patterns. The application will require frequent access to some data, while other data will be infrequently accessed but must be retained for compliance reasons. Given the Azure Blob Storage access tiers, which tiering strategy should the company adopt to optimize costs while ensuring data accessibility and compliance?

Accepted Answer

Store frequently accessed data in the Hot tier and infrequently accessed data in the Cool tier, while archiving data that is rarely accessed in the Archive tier.

Question 28

A company is developing a serverless application using Azure Functions to process incoming data from IoT devices. The application needs to handle varying loads, with peak times reaching up to 10,000 requests per minute. The development team is considering different hosting plans for their Azure Functions to optimize performance and cost. Which hosting plan would best accommodate the fluctuating demand while ensuring that the application remains responsive and cost-effective?

Accepted Answer

Consumption Plan

Question 29

A financial services company is developing a disaster recovery (DR) plan to ensure business continuity in the event of a data center failure. They have two data centers: one in New York and another in San Francisco. The company needs to decide on the Recovery Time Objective (RTO) and Recovery Point Objective (RPO) for their critical applications. The RTO is defined as the maximum acceptable time that an application can be down after a disaster, while the RPO is the maximum acceptable amount of data loss measured in time. If the company determines that their critical applications can tolerate a downtime of no more than 2 hours and can afford to lose no more than 15 minutes of data, what should be the appropriate RTO and RPO for these applications?

Accepted Answer

RTO of 2 hours and RPO of 15 minutes

Question 30

A data engineer is tasked with diagnosing performance issues in an Azure Data Factory pipeline that is experiencing delays. The engineer decides to utilize Azure Monitor and the diagnostic logs available for Data Factory. Which of the following actions should the engineer prioritize to effectively identify the root cause of the performance bottleneck?

Accepted Answer

Analyze the activity run logs to identify any failed or long-running activities and their associated error messages.

Microsoft DP-201 Designing an Azure Data Solution Free Practice Test — 30 Questions

The free lane is only the front row

How to Use This Microsoft DP-201 Designing an Azure Data Solution Practice Test

About the Microsoft DP-201 Designing an Azure Data Solution Practice Test

Practice Method for This Page

Frequently Asked Questions about Microsoft DP-201 Designing an Azure Data Solution

Is this Microsoft DP-201 Designing an Azure Data Solution practice test really free?

How many questions are on the real Microsoft DP-201 Designing an Azure Data Solution exam?

What score should I target before scheduling?

Preparing for Microsoft DP-201 Designing an Azure Data Solution? Now land the interview.

More Study Resources for Microsoft DP-201 Designing an Azure Data Solution