MCQs on Introduction to Azure Cosmos DB | Azure Cosmos DB MCQs Questions
Dive into this set of Azure Cosmos DB MCQ questions and answers to build a solid understanding of Microsoft’s globally distributed database service. These questions cover topics like Cosmos DB architecture, supported APIs, use cases, and key features. This guide is perfect for cloud computing enthusiasts aiming to master Cosmos DB essentials for real-world applications.
Chapter 1: Introduction to Azure Cosmos DB
Topic 1: Overview of Azure Cosmos DB
- Azure Cosmos DB is best described as:
a) A relational database
b) A globally distributed, multi-model database service
c) A data warehouse solution
d) A serverless compute platform - What is a key characteristic of Azure Cosmos DB?
a) Data storage limited to specific regions
b) NoSQL support only
c) Guaranteed low-latency access anywhere in the world
d) On-premise deployment support - Cosmos DB supports which type of data model?
a) Hierarchical
b) Relational only
c) Multi-model
d) Blockchain - Azure Cosmos DB is ideal for:
a) Batch processing of large files
b) Globally distributed applications with high availability
c) Traditional desktop applications
d) Static website hosting - Which of the following is NOT a feature of Azure Cosmos DB?
a) Multi-region write capability
b) Schema-free data storage
c) Automatic partitioning of data
d) Fixed scalability limits
Topic 2: Key Features and Benefits
- What is the consistency model unique to Azure Cosmos DB?
a) Strict consistency
b) Eventual consistency
c) Bounded staleness consistency
d) Tunable consistency levels - Which is NOT a benefit of Azure Cosmos DB?
a) Globally distributed architecture
b) Unlimited scaling
c) High latency for global reads
d) Five well-defined consistency models - Azure Cosmos DB offers:
a) Built-in redundancy for high availability
b) Limited backup options
c) Only manual indexing
d) Single-region write capabilities only - What makes Azure Cosmos DB suitable for mission-critical applications?
a) Dependency on a single region
b) Multi-region writes and 99.999% availability SLA
c) Lack of monitoring tools
d) Limited throughput options - Which indexing mode is used in Azure Cosmos DB by default?
a) Manual
b) Automatic
c) Custom-defined
d) None
Topic 3: Supported APIs
- Which API is used to interact with Azure Cosmos DB as a document database?
a) Table API
b) SQL API
c) Gremlin API
d) Cassandra API - Azure Cosmos DB supports which graph processing API?
a) Cassandra API
b) SQL API
c) Gremlin API
d) MongoDB API - For column-family-based databases, which API does Azure Cosmos DB provide?
a) Cassandra API
b) SQL API
c) Table API
d) Gremlin API - The MongoDB API in Cosmos DB is best suited for:
a) Graph-based applications
b) Document-oriented databases
c) Key-value stores
d) None of the above - Which of the following APIs is used for key-value storage in Azure Cosmos DB?
a) Gremlin API
b) Table API
c) MongoDB API
d) Cassandra API
Topic 4: Use Cases and Real-World Applications
- Azure Cosmos DB is ideal for which of the following use cases?
a) Static website hosting
b) E-commerce catalog systems
c) On-premise data warehousing
d) Traditional file storage - Real-time IoT data ingestion is a common use case for:
a) Relational databases
b) Azure Cosmos DB
c) Blob storage
d) Azure SQL Database - Cosmos DB is often used for:
a) Building distributed ledger systems
b) Event sourcing patterns
c) Both a and b
d) None of the above - Which industry commonly uses Azure Cosmos DB for personalized recommendations?
a) Healthcare
b) E-commerce and retail
c) Agriculture
d) Manufacturing - What makes Cosmos DB suitable for mobile backends?
a) Fixed schema requirements
b) Global distribution and low-latency reads
c) Limited language support
d) Static workload handling
Topic 5: Cosmos DB Architecture Overview
- Which component ensures high availability in Azure Cosmos DB?
a) Storage account replication
b) Global distribution with multiple regions
c) Local server caching
d) Fixed partitioning - The partition key in Cosmos DB is used for:
a) Increasing query execution time
b) Organizing and distributing data
c) Restricting global writes
d) Assigning database roles - Which service is responsible for maintaining Cosmos DB’s global consistency?
a) Storage accounts
b) Replication protocols
c) Query optimizer
d) Compute nodes - What is a unique feature of Cosmos DB architecture?
a) Single-threaded operations
b) Multi-model support on the same core engine
c) Fixed schema enforcement
d) Dependency on Azure SQL backend - Azure Cosmos DB achieves scalability by:
a) Limiting data regions
b) Using partitioned collections
c) Enforcing strict consistency
d) Using monolithic database designs
Topic 6: Pricing and Cost Optimization
- What determines the cost of using Azure Cosmos DB?
a) Number of APIs integrated
b) Region of deployment and request units (RUs) consumed
c) Number of users accessing the database
d) Fixed subscription plans - What are Request Units (RUs) in Cosmos DB?
a) A measure of database size
b) A pricing metric based on the capacity of operations performed
c) Reserved storage space
d) Database partition keys - Azure Cosmos DB’s Free Tier offers:
a) Up to 400 RUs and 5 GB storage per month
b) Unlimited RUs but no storage
c) A 30-day free trial
d) No API access - Which of the following helps in optimizing costs in Cosmos DB?
a) Using large partition keys
b) Setting the appropriate throughput based on workload
c) Replicating data in all regions
d) Increasing RU allocation unnecessarily - The auto-scale feature in Cosmos DB allows:
a) Manual configuration of throughput
b) Dynamically adjusting throughput based on workload demands
c) Limiting the maximum storage size
d) Reducing query performance
Answers
| Qno | Answer |
|---|---|
| 1 | b) A globally distributed, multi-model database service |
| 2 | c) Guaranteed low-latency access anywhere in the world |
| 3 | c) Multi-model |
| 4 | b) Globally distributed applications with high availability |
| 5 | d) Fixed scalability limits |
| 6 | d) Tunable consistency levels |
| 7 | c) High latency for global reads |
| 8 | a) Built-in redundancy for high availability |
| 9 | b) Multi-region writes and 99.999% availability SLA |
| 10 | b) Automatic |
| 11 | b) SQL API |
| 12 | c) Gremlin API |
| 13 | a) Cassandra API |
| 14 | b) Document-oriented databases |
| 15 | b) Table API |
| 16 | b) E-commerce catalog systems |
| 17 | b) Azure Cosmos DB |
| 18 | c) Both a and b |
| 19 | b) E-commerce and retail |
| 20 | b) Global distribution and low-latency reads |
| 21 | b) Global distribution with multiple regions |
| 22 | b) Organizing and distributing data |
| 23 | b) Replication protocols |
| 24 | b) Multi-model support on the same core engine |
| 25 | b) Using partitioned collections |
| 26 | b) Region of deployment and request units (RUs) consumed |
| 27 | b) A pricing metric based on the capacity of operations performed |
| 28 | a) Up to 400 RUs and 5 GB storage per month |
| 29 | b) Setting the appropriate throughput based on workload |
| 30 | b) Dynamically adjusting throughput based on workload demands |