Which tool is used to orchestrate and manage the nodes in a Redis Cluster?
redis-cli
redis-server
redis-trib.rb
redis-benchmark
Which Redis command is used to add an element to a HyperLogLog?
PFADD
HGET
PFCOUNT
PFMERGE
Which design pattern in Redis is MOST suitable for representing a queue-like structure with efficient push and pop operations?
Sorted Set
Set
HyperLogLog
List
In a Redis Cluster, how is data distributed across the nodes?
Data is distributed using consistent hashing based on a key's hash slot.
Data is manually partitioned by the user during setup.
Data is randomly assigned to any node.
Data is replicated to all nodes for high availability.
What happens when you execute RENAME key1 key2 and key2 already exists?
RENAME key1 key2
key2
An error is returned, and no changes are made
The command blocks until key2 is deleted
key2 is renamed to a temporary name, and then key1 is renamed to key2
key1 is renamed to key2, overwriting the existing key2
Which of the following best describes the relationship between publishers and subscribers in Redis Pub/Sub?
All of the above are possible scenarios.
Many-to-one, with multiple publishers sending messages to a single subscriber.
One-to-many, with one publisher broadcasting to multiple subscribers.
One-to-one, with each publisher dedicated to a single subscriber.
Which of the following is NOT a typical use case for integrating Redis with a SQL database?
Offloading write operations from the database to handle high traffic.
Implementing a real-time leaderboard by leveraging Redis' sorted sets.
Storing large blobs of unstructured data like images or videos.
Caching frequently accessed data to improve read performance.
How are distances between geospatial points calculated in Redis?
Using simple Euclidean distance.
Distances are not calculated; only relative positions are stored.
Using the Haversine formula, accounting for Earth's curvature.
Using Manhattan distance.
What is a primary benefit of using Redis Hashes for storing related pieces of data instead of separate Strings?
Reduced memory footprint
Faster key lookups
Improved data security
Automatic data sorting
In which scenario would you choose Kafka over Redis Streams for integrating with your application?
When you require strict message ordering guarantees within a consumer group.
When your application needs to replay past events or access historical data.
When handling extremely high throughput message ingestion (millions of messages per second).
All of the above