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Data Storage for AI Solutions Flashcards
Microsoft Azure AI Engineer Associate AI-102 Flashcards
| Front | Back |
| How can unstructured data be made usable for AI solutions | Unstructured data can be converted into structured formats using data preprocessing techniques such as tagging, categorization, or metadata enrichment. |
| How does Azure Blob Storage secure data | Azure Blob Storage secures data using encryption at rest and role-based access control (RBAC). |
| How does Azure Blob Storage support AI solutions? | Azure Blob Storage provides scalable storage for training datasets, especially unstructured data like images and videos. |
| How does managing data redundancy work in Azure Blob Storage | Azure Blob Storage offers redundancy options like LRS, GRS, and RA-GRS to ensure data durability and availability. |
| How is Azure Cosmos DB beneficial for AI solutions? | Cosmos DB enables real-time access to structured or semi-structured data for AI models requiring immediate decision-making capabilities. |
| What does structured data refer to? | Structured data refers to data organized in a defined manner, such as tables with rows and columns. |
| What is a benefit of integrating AI and cloud data storage solutions? | It enables efficient processing and scaling of massive datasets needed for AI. |
| What is a container in Azure Blob Storage | A container organizes blobs in Azure Blob Storage similar to a folder in a file system. |
| What is a key feature of Azure Cosmos DB? | A key feature is its multi-region replication and low-latency access. |
| What is Azure Blob Storage used for? | Blob Storage is used for storing unstructured data such as images, videos, and large datasets. |
| What is data sharding in Azure Cosmos DB | Data sharding is the process of distributing data across multiple servers for horizontal scaling. |
| What is HTAP in the context of Azure Cosmos DB | HTAP stands for Hybrid Transactional and Analytical Processing, allowing Cosmos DB to support real-time analytics on transactional data. |
| What is partitioning in Azure Cosmos DB? | Partitioning divides the database into smaller, more manageable subsets for scalability and performance. |
| What is the scalability advantage of Azure Blob Storage | Azure Blob Storage offers near-infinite scalability for managing large and growing amounts of data. |
| What is unstructured data? | Unstructured data is information that does not follow a predefined data model, like images, videos, or text files. |
| What role do tiers play in Azure Blob Storage | Tiers in Azure Blob Storage (hot, cool, archive) allow cost optimization based on access frequency. |
| What type of data is ideal for Azure Cosmos DB? | Azure Cosmos DB is ideal for storing highly scalable and globally distributed structured or semi-structured data. |
| Which API options does Azure Cosmos DB support | Azure Cosmos DB supports APIs such as SQL, MongoDB, Cassandra, Table, and Gremlin. |
| Why is data integration important for AI solutions? | Data integration allows combining structured and unstructured data for a comprehensive analysis and training of AI models. |
| Why is low-latency access important for AI models | Low-latency access ensures timely processing and decision-making required for real-time AI applications. |
Front
How is Azure Cosmos DB beneficial for AI solutions?
Click the card to flip
Back
Cosmos DB enables real-time access to structured or semi-structured data for AI models requiring immediate decision-making capabilities.
Front
What is Azure Blob Storage used for?
Back
Blob Storage is used for storing unstructured data such as images, videos, and large datasets.
Front
Why is data integration important for AI solutions?
Back
Data integration allows combining structured and unstructured data for a comprehensive analysis and training of AI models.
Front
What is HTAP in the context of Azure Cosmos DB
Back
HTAP stands for Hybrid Transactional and Analytical Processing, allowing Cosmos DB to support real-time analytics on transactional data.
Front
How does Azure Blob Storage secure data
Back
Azure Blob Storage secures data using encryption at rest and role-based access control (RBAC).
Front
What is data sharding in Azure Cosmos DB
Back
Data sharding is the process of distributing data across multiple servers for horizontal scaling.
Front
Why is low-latency access important for AI models
Back
Low-latency access ensures timely processing and decision-making required for real-time AI applications.
Front
What role do tiers play in Azure Blob Storage
Back
Tiers in Azure Blob Storage (hot, cool, archive) allow cost optimization based on access frequency.
Front
What does structured data refer to?
Back
Structured data refers to data organized in a defined manner, such as tables with rows and columns.
Front
What is partitioning in Azure Cosmos DB?
Back
Partitioning divides the database into smaller, more manageable subsets for scalability and performance.
Front
How can unstructured data be made usable for AI solutions
Back
Unstructured data can be converted into structured formats using data preprocessing techniques such as tagging, categorization, or metadata enrichment.
Front
What is unstructured data?
Back
Unstructured data is information that does not follow a predefined data model, like images, videos, or text files.
Front
Which API options does Azure Cosmos DB support
Back
Azure Cosmos DB supports APIs such as SQL, MongoDB, Cassandra, Table, and Gremlin.
Front
What is a key feature of Azure Cosmos DB?
Back
A key feature is its multi-region replication and low-latency access.
Front
How does Azure Blob Storage support AI solutions?
Back
Azure Blob Storage provides scalable storage for training datasets, especially unstructured data like images and videos.
Front
What is a benefit of integrating AI and cloud data storage solutions?
Back
It enables efficient processing and scaling of massive datasets needed for AI.
Front
What is a container in Azure Blob Storage
Back
A container organizes blobs in Azure Blob Storage similar to a folder in a file system.
Front
What type of data is ideal for Azure Cosmos DB?
Back
Azure Cosmos DB is ideal for storing highly scalable and globally distributed structured or semi-structured data.
Front
What is the scalability advantage of Azure Blob Storage
Back
Azure Blob Storage offers near-infinite scalability for managing large and growing amounts of data.
Front
How does managing data redundancy work in Azure Blob Storage
Back
Azure Blob Storage offers redundancy options like LRS, GRS, and RA-GRS to ensure data durability and availability.
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This deck explains data storage options in Azure, including Azure Blob Storage, Cosmos DB, and integrating structured and unstructured data for AI solutions.