When integrating Redis as a cache layer with a database, what strategy ensures data consistency between the cache and the database?
All of the above
Write-through cache
Cache-aside pattern
Read-through cache
Which Redis feature allows you to persist data from memory to disk, providing some level of durability?
Virtual Memory
Replication
Persistence
Transactions
How can Redis be used effectively with a NoSQL database like MongoDB?
For storing real-time metrics and counters related to MongoDB operations.
As a caching layer for frequently accessed MongoDB documents.
For implementing distributed locking mechanisms for concurrent MongoDB updates.
What is the primary purpose of using MULTI and EXEC commands in Redis?
MULTI
EXEC
To create a new Redis database.
To retrieve multiple keys simultaneously.
To set a key-value pair with an expiration time.
To execute multiple commands atomically.
Which Redis command is used to add an element to a HyperLogLog?
PFCOUNT
HGET
PFMERGE
PFADD
When a transaction is executed with EXEC, and a watched key has been modified, what is the expected return value?
An empty list ([]).
[]
The integer 1.
1
The string "OK".
The integer 0.
0
What is a 'hash slot' in the context of Redis Cluster?
A type of data structure that stores key-value pairs using a hash function.
A virtual slot used to determine data distribution across the cluster.
A physical slot on the Redis server where data is stored.
A security feature that encrypts data before storing it in the cluster.
What is a key consideration when designing a system using Redis Pub/Sub for high message volume?
Configuring Redis to prioritize Pub/Sub messages over other commands.
Ensuring that all messages are acknowledged by subscribers to prevent data loss.
Implementing a mechanism to handle slow subscribers to prevent message backlog.
Using persistent storage for all messages to facilitate auditing and replay.
How are distances between geospatial points calculated in Redis?
Using the Haversine formula, accounting for Earth's curvature.
Distances are not calculated; only relative positions are stored.
Using Manhattan distance.
Using simple Euclidean distance.
What technique involves splitting your data across multiple Redis instances to handle datasets larger than the memory of a single server?
Hashing
Sharding
Data Pipelining