MCQs on Blob Storage Performance and Scalability | Azure Storage
Azure Blob Storage offers a flexible, scalable solution for managing large amounts of data. Optimizing performance with access tiers, understanding scalability limits, and following best practices are crucial for efficient and high-performing storage solutions.
Blob Storage Performance and Scalability
Topic: Optimizing Performance with Access Tiers
- Which Azure Blob Storage access tier is designed for frequently accessed data?
- A) Hot
- B) Cool
- C) Archive
- D) Premium
- What is the main advantage of using the Cool access tier?
- A) Lower cost for frequently accessed data
- B) Suitable for long-term, infrequently accessed data
- C) Faster read and write operations
- D) No redundancy
- What happens to data stored in the Archive access tier in Azure Blob Storage?
- A) Data is quickly retrievable in real-time
- B) Data must be rehydrated before access
- C) Data is automatically replicated to other regions
- D) Data is encrypted automatically
- Which of the following is NOT a benefit of using the Hot access tier in Azure Blob Storage?
- A) High availability
- B) Optimized for frequent access
- C) Cheapest storage option
- D) Low-latency performance
- What is the primary reason for using multiple access tiers in Azure Blob Storage?
- A) To increase storage capacity
- B) To manage costs based on the frequency of data access
- C) To increase redundancy
- D) To speed up data transfers
- Which access tier is best suited for short-term storage needs in Azure Blob Storage?
- A) Hot
- B) Cool
- C) Archive
- D) Standard
- How does moving data between access tiers impact storage costs in Azure Blob Storage?
- A) It increases storage costs but decreases access costs
- B) It decreases storage costs for infrequent access
- C) It has no impact on storage costs
- D) It reduces redundancy options
- What is the primary use case for the Archive access tier?
- A) For frequently accessed data
- B) For rarely accessed or long-term archival data
- C) For data with low performance requirements
- D) For high-frequency transactional data
- What must be done to access data in the Archive access tier?
- A) It can be read immediately
- B) It needs to be rehydrated before access
- C) It must be moved to the Hot tier
- D) It is automatically retrieved when requested
- Which access tier provides the best performance for transactional data?
- A) Hot
- B) Cool
- C) Archive
- D) Premium
Topic: Understanding Blob Storage Limits and Scalability
- What is the maximum size for a single blob in Azure Blob Storage?
- A) 1 TB
- B) 4.75 TB
- C) 100 GB
- D) 200 GB
- How many blob containers can a single storage account support in Azure?
- A) 100
- B) 500
- C) 1 million
- D) Unlimited
- Which Azure Blob Storage feature helps ensure high availability and fault tolerance?
- A) Redundancy options (LRS, ZRS, GRS)
- B) Data rehydration
- C) Access tiering
- D) Blob indexing
- What is the maximum number of storage accounts allowed per Azure subscription?
- A) 50
- B) 100
- C) 200
- D) 250
- How does Azure Blob Storage handle large-scale datasets?
- A) By distributing data across multiple storage accounts
- B) By storing everything in the Archive tier
- C) By splitting data into smaller blobs across multiple containers
- D) By compressing data automatically
- What factor primarily determines the scalability of Azure Blob Storage?
- A) The access tier chosen
- B) The size and number of blobs stored
- C) The region in which the storage account is located
- D) The storage account type (Premium or Standard)
- What happens if a blob exceeds the maximum size allowed in Azure Blob Storage?
- A) The blob is automatically split into multiple blobs
- B) The blob cannot be uploaded
- C) The storage account is locked
- D) Data is compressed to fit within limits
- What is the maximum number of blobs that can be stored in a single container?
- A) 500,000
- B) 10 million
- C) Unlimited
- D) 1 million
- What Azure feature allows scalability by automatically distributing data across regions for optimal performance?
- A) Geo-redundant storage (GRS)
- B) Blob container replication
- C) Load balancing
- D) Automated tiering
- How are storage limits different between Premium and Standard Azure Blob Storage accounts?
- A) Premium offers higher performance but lower storage limits
- B) Premium accounts support larger blobs but have no performance difference
- C) Standard accounts support unlimited storage but with limited performance
- D) Premium accounts have unlimited storage with higher performance
Topic: Best Practices for High-Performance Data Handling
- What is one best practice for achieving high performance when working with large datasets in Azure Blob Storage?
- A) Using multiple small containers
- B) Optimizing access tier for data access patterns
- C) Storing everything in the Hot tier
- D) Using only one storage account for all datasets
- When uploading large files, what strategy should be used to maximize efficiency in Azure Blob Storage?
- A) Uploading files sequentially in large chunks
- B) Using parallel uploads and dividing files into smaller blocks
- C) Compressing files before uploading
- D) Storing files in the Archive tier
- How can the performance of Azure Blob Storage be improved when accessing data frequently?
- A) By moving data to the Archive tier
- B) By using the Hot access tier
- C) By reducing the number of containers
- D) By limiting the number of blobs in a container
- Which method can be used to manage large-scale data efficiently in Azure Blob Storage?
- A) Using blob snapshots
- B) Using a single large container
- C) Using a single access tier for all data
- D) Using shared access signatures (SAS)
- What should be done to minimize latency when accessing blobs in Azure Blob Storage?
- A) Store data only in Premium storage accounts
- B) Use geo-redundant storage (GRS)
- C) Distribute blobs across multiple containers in multiple regions
- D) Enable compression for all blobs
- How can you optimize the throughput of Azure Blob Storage for frequent access patterns?
- A) Use multiple storage accounts and distribute the load
- B) Store all data in the Cool tier
- C) Use a single access tier for all data
- D) Enable encryption for all blobs
- What is the recommended practice for managing metadata in Azure Blob Storage for large datasets?
- A) Store metadata in a separate storage account
- B) Use the Hot tier for all metadata
- C) Store metadata in Azure SQL Database
- D) Attach metadata directly to blobs in the container
- Which Azure feature helps reduce the impact of storage costs while maintaining performance for frequently accessed data?
- A) Blob indexing
- B) Tiered storage
- C) Data compression
- D) Blob rehydration
- What is the optimal strategy for archiving data with low access frequency in Azure Blob Storage?
- A) Store it in the Hot access tier
- B) Store it in the Cool access tier
- C) Store it in the Archive access tier
- D) Store it in multiple regions
- Which method can be used to improve data availability and reliability for high-performance workloads in Azure Blob Storage?
- A) Use locally redundant storage (LRS)
- B) Store data in multiple geo-redundant regions
- C) Use standard tier for low-cost storage
- D) Use only Premium storage for all data
Answers Table
| Qno | Answer |
|---|---|
| 1 | A) Hot |
| 2 | B) Suitable for long-term, infrequently accessed data |
| 3 | B) Data must be rehydrated before access |
| 4 | C) Cheapest storage option |
| 5 | B) To manage costs based on the frequency of data access |
| 6 | A) Hot |
| 7 | B) It decreases storage costs for infrequent access |
| 8 | B) For rarely accessed or long-term archival data |
| 9 | B) It needs to be rehydrated before access |
| 10 | A) Hot |
| 11 | B) 4.75 TB |
| 12 | C) 1 million |
| 13 | A) Redundancy options (LRS, ZRS, GRS) |
| 14 | B) 100 |
| 15 | A) By distributing data across multiple storage accounts |
| 16 | B) The size and number of blobs stored |
| 17 | B) The blob cannot be uploaded |
| 18 | C) Unlimited |
| 19 | A) Geo-redundant storage (GRS) |
| 20 | D) Premium accounts have unlimited storage with higher performance |
| 21 | B) Optimizing access tier for data access patterns |
| 22 | B) Using parallel uploads and dividing files into smaller blocks |
| 23 | B) By using the Hot access tier |
| 24 | A) Using blob snapshots |
| 25 | C) Distribute blobs across multiple containers in multiple regions |
| 26 | A) Use multiple storage accounts and distribute the load |
| 27 | A) Store metadata in a separate storage account |
| 28 | B) Tiered storage |
| 29 | C) Store it in the Archive access tier |
| 30 | B) Store data in multiple geo-redundant regions |