Section 4: Data Science and Analytics Flashcards
Which Azure service is designed for building, training, and deploying machine learning models at scale?
Azure Machine Learning
What is Azure Databricks primarily used for?
Big data processing, data engineering, and collaborative machine learning.
Which service provides pre-built APIs for tasks like language understanding, computer vision, and speech recognition?
Azure Cognitive Services
What role does Power BI play in Azure’s analytics ecosystem?
Power BI provides data visualization and interactive reporting for business users, integrating with other Azure services for real-time analytics.
Which of the following services is designed for distributed big data processing and works with Apache Spark? (Select one)
1. Azure Synapse Analytics
2. Azure Databricks
3. Azure Machine Learning
4. Azure SQL Database
A:
- Azure Databricks
How can Azure Machine Learning be used to manage the machine learning lifecycle?
By supporting model training, validation, deployment, and monitoring, along with MLOps for automation and collaboration.
What is the key difference between Azure Cognitive Services and Azure Machine Learning?
Azure Cognitive Services offers pre-built AI capabilities, while Azure Machine Learning is for custom model development.
Which Azure service integrates big data and analytics capabilities in a serverless environment to query structured and unstructured data?
Azure Synapse Analytics
What is an advantage of using Azure Databricks for data science projects?
It offers a collaborative environment with native integration for Apache Spark, enabling scalable data analytics and machine learning.
Which Azure service supports real-time analytics on streaming data?
Azure Stream Analytics
Scenario: A retail company needs to predict customer behavior based on transaction history. Which combination of Azure services is ideal for building and deploying predictive models?
Azure Synapse Analytics, Azure Machine Learning, and Power BI
Scenario: A healthcare provider wants to implement speech-to-text for medical transcription. Which Azure service can handle this requirement?
Azure Cognitive Services (Speech API)
Scenario: Your organization needs a collaborative platform to process large datasets with Apache Spark, focusing on both ETL and machine learning tasks. Which service should you recommend?
Azure Databricks
Scenario: A financial services company wants to monitor transactions in real-time to detect fraudulent behavior. Which Azure service can perform real-time analytics on streaming data?
Azure Stream Analytics
Scenario: A client wants to deploy multiple machine learning models across several regions and automate the retraining process. What Azure tools should they use?
Azure Machine Learning (with MLOps)
