Redis-compatible, dependable, in-memory database service with lightning-fast performance is Amazon MemoryDB for Redis. For contemporary applications, such as those created with microservices architectures, MemoryDB enables you to achieve microsecond read latency, single-digit millisecond write latency, high throughput, and Multi-AZ durability. Redis' adaptable data structures and APIs are used in these applications' low latency and high scalability requirements as well as to facilitate rapid development. MemoryDB uses a distributed transactional log to provide in-memory speed as well as data durability, consistency, and recoverability by storing your complete dataset in memory. You may create high-performance applications without having to independently maintain a cache, durable database, or the necessary supporting infrastructure by using MemoryDB as a fully managed primary database.
AWS(Amazon Web Services) Interview Questions and Answers
AWS Cloud Interview Questions and
Answers
Ques. 1): Describe Redis.
Answer:
Strings, lists, sets, hashes, sorted sets, and other adaptable data structures are used by Redis, an open-source, in-memory key-value data store. Additionally, Redis has functionality for geospatial queries, pub/sub, custom Lua scripts, and other things. Redis provides lightning-fast performance and great throughput since it saves data in-memory. For the fifth year in a row, Redis is the "Most Loved Database" among Stack Overflow developers. It is also the top database chosen by the Cloud Native Computing Foundation (CNCF) End User Community. In order to promote and support cloud native computing, including containers and microservices, CNCF was established.
AWS AppSync Interview Questions and
Answers
AWS Cloud9 Interview Questions and
Answers
Ques. 2): What is a MemoryDB cluster?
Answer:
A grouping of one or more nodes supporting a single dataset is known as a MemoryDB cluster. Each of the shards that make up a MemoryDB dataset has a primary node and a maximum of five optional replica nodes. A replica only handles read requests, whereas a primary node handles both read and write requests. When a primary node fails over to a replica node, the replica is elevated to the position of new primary node for that shard.
Amazon Athena Interview Questions and
Answers
AWS RedShift Interview Questions and
Answers
Ques. 3): Does MemoryDB support high availability?
Answer:
MemoryDB does indeed provide high availability. A MemoryDB cluster with Multi-AZ availability can have up to 5 replicas spread across various AZs. MemoryDB will automatically failover and promote one of the replicas to act as the new primary and direct write traffic to it in the event of a primary node loss. MemoryDB also makes use of a distributed transactional log to guarantee that, even in the event of a primary node failure, the data on replicas is kept current. For unplanned failures, failover often occurs in less than 10 seconds, while for planned outages, it typically occurs in less than 200 milliseconds.
To reliably save data written to your database during database recovery, restart, failover, and eventual consistency between primaries and replicas, MemoryDB uses a distributed transactional log.
AWS Cloud
Practitioner Essentials Questions and Answers
AWS EC2 Interview Questions and
Answers
Ques. 4): Can my MemoryDB cluster be backed up?
Answer:
Yes, you do make snapshots to backup your MemoryDB cluster's data and metadata. You have two options for creating snapshots: manually or automatically, using MemoryDB's automated snapshot scheduler once every day at a time you choose. You have the option to keep a snapshot in MemoryDB for up to 35 days after it is made. Amazon S3, which is built for 99.999999999% (11 9's) durability, is where snapshots are saved. Additionally, you have the option to delete your cluster after taking one final snapshot of it. Additionally, the service allows you to export MemoryDB snapshots to an Amazon S3 bucket.
AWS
Lambda Interview Questions and Answers
AWS
Cloud Security Interview Questions and Answers
Ques. 5): Why is Amazon MemoryDB for Redis recommended to use data tiering?
Answer:
Use data tiering when you need a quicker, less expensive way to expand the data capacity for your MemoryDB clusters without sacrificing the availability of your applications. The workloads and programmes that can tolerate a bit extra latency the first time they utilise a less-frequently accessed item are the ones that benefit from data tiering the most. R6gd nodes, which have around a 5x larger total capacity (memory + SSD) while operating at peak efficiency, can cut storage expenses by more than 60% when compared to R6g nodes (memory only).
AWS
Simple Storage Service (S3) Interview Questions and Answers
AWS Fargate Interview Questions and
Answers
Ques. 6): How can my MemoryDB cluster be updated?
Answer:
Your cluster's upgrades and maintenance are made simple by MemoryDB, which also offers two distinct processes for cluster upkeep. First, during the maintenance times that you set, MemoryDB automatically patches your cluster with some required upgrades. Second, MemoryDB uses service updates for some changes, which you can deploy immediately or plan for a later maintenance window. After a specific date, some service updates are automatically scheduled during a maintenance window. Your clusters' security, dependability, and operational performance are strengthened by cluster upgrades, and your cluster continues to be online and respond to read and write requests.
AWS SageMaker Interview Questions and
Answers
AWS
DynamoDB Interview Questions and Answers
Ques. 7): How is the consistency of MemoryDB different from that of free software Redis?
Answer:
On the primary node of each shard, open source Redis permits writes and strongly consistent reads, and eventually consistent readings from read replicas. If a primary node fails, these consistency qualities are not guaranteed because writes can get lost during a failover and hence go against the consistency paradigm.
MemoryDB's consistency model is comparable to Redis, an open source database. Clients can access their writes from primaries regardless of node failures with MemoryDB since data is not lost during failovers. In the multi-AZ transaction log, only information that has successfully been persisted is accessible. Lag metrics are still published to Amazon CloudWatch, and replica nodes are still eventually consistent.
AWS
Cloudwatch interview Questions and Answers
AWS Elastic Block Store (EBS)
Interview Questions and Answers
Ques. 8): How much throughput and latency can I get with MemoryDB?
Answer:
Depending on the node type, payload size, and number of client connections, MemoryDB's throughput and latency varies. On the principal node for a cluster shard, MemoryDB offers microsecond read latency, single-digit millisecond write latency, and read-after-write delay. Up to 1.3 GB/s read and 100 MB/s write throughput and 390K read and 100K write requests per second are supported by MemoryDB (based on internal testing on read-only and write-only workloads). A MemoryDB cluster divides data among one or more nodes, allowing you to expand your cluster by adding more replicas or shards to boost aggregate throughput.
AWS
Amplify Interview Questions and Answers
AWS
Secrets Manager Interview Questions and Answers
Ques. 9): When should I use MemoryDB for Redis instead of Amazon ElastiCache?
Answer:
For workloads that demand an incredibly quick, Redis-compatible primary database, MemoryDB for Redis provides a reliable, in-memory database. If your workload necessitates a robust database with lightning-fast speed, you should think about adopting MemoryDB (microsecond read and single-digit millisecond write latency). If you wish to create a Redis-based application with a primary, long-lasting database, MemoryDB might also be a good fit for your use case. Finally, you should think about adopting MemoryDB to reduce costs and simplify your application architecture by using a cache for durability and performance instead of a database.
Data from other databases and data stores that use Redis are frequently cached using the service ElastiCache for Redis. For caching workloads where you wish to speed up data access with your current primary database or data storage, you should think about ElastiCache for Redis (microsecond read and write performance). For use scenarios when you want to access data stored in a primary database or data store using the Redis data structures and APIs, you should also take ElastiCache for Redis into consideration.
AWS Django Interview Questions and Answers
AWS Cloud Support Engineer Interview
Question and Answers
Ques. 10): How do I get started with using MemoryDB?
Answer:
Using the AWS Management Console, Command Line Interface (CLI), or Software Development Kit, you can begin by building a new MemoryDB cluster (SDK). Sign in and go to Amazon MemoryDB for Redis in the console to create a MemoryDB cluster. Choose "Get Started" and then "Create new cluster" from there.
AWS Solution Architect Interview
Questions and Answers
AWS Glue Interview Questions and Answers
Ques. 11): Can I resize my MemoryDB cluster?
Answer:
Yes, you can change the horizontal and vertical sizes of your MemoryDB cluster. You can add or remove nodes to horizontally scale your cluster. Your dataset can be split among multiple shards by adding shards, and you can add more replica nodes to each shard to improve read throughput and availability. If you want to scale up your cluster, you may also delete replicas and shards. Changing the type of node you use will alter the memory and CPU resources available to each node, allowing you to expand your cluster vertically as well. Your cluster keeps running and continues to service read and write requests even when performing horizontal and vertical resizing operations.
AWS Cloud Interview Questions and
Answers
AWS VPC Interview Questions and Answers
Ques. 12): How can I set up my MemoryDB cluster for authentication and authorization?
Answer:
Redis Access Control Lists (ACLs) are used by MemoryDB to manage cluster authorisation and authentication. With the aid of ACLs, you can provide unique permissions for various users within the same cluster. ACLs are groups of one or more users. For the purpose of authorising access to Redis commands and data, each user has a password and an access string.
AWS DevOps Cloud Interview Questions and Answers
AWS Aurora Interview Questions and Answers
Ques. 13): How does Amazon MemoryDB for Redis' data tiering function?
Answer:
When available memory is used up, data tiering uses SSD storage in cluster nodes to continue processing data. Data tiering is automatically activated when employing cluster nodes with SSD storage, and MemoryDB controls data placement by transparently transferring things between memory and disc using a least-recently-used (LRU) strategy. MemoryDB automatically recognises the least-recently used items when memory is completely utilised and copies their values to disc to reduce cost. MemoryDB seamlessly copies an item's value to memory before completing a request when an application has to obtain it from the disc, doing so with no performance hit.
AWS Database Interview Questions and Answers
AWS ActiveMQ Interview Questions and Answers
Ques. 14): Can I migrate data from ElastiCache for Redis to my MemoryDB cluster?
Answer:
Yes, you can move data from MemoryDB to ElastiCache for Redis. Create an export to your S3 bucket of an image of your ElastiCache for Redis cluster first. Next, establish a fresh MemoryDB cluster and choose the backup to use for a restore. With the information from the snapshot and the Redis metadata, MemoryDB will establish a new cluster. See the MemoryDB documentation for more details on moving data from ElastiCache for Redis to MemoryDB.
AWS CloudFormation Interview
Questions and Answers
AWS GuardDuty Questions and Answers
Ques. 15): How is the append-only file (AOF) feature of open source Redis different from MemoryDB's durability functionality?
Answer:
To store data durably, MemoryDB uses a distributed transactional log. MemoryDB offers quick database recovery and restart thanks to the distribution of data across several AZs. Additionally, MemoryDB provides consistent reads on primary nodes and eventual consistency for replica nodes.
An optional append-only file (AOF) feature in open source Redis allows for the long-term storage of data in a file on a primary node's hard drive. However, there is a chance of data loss because AOF saves data locally on primary nodes in a single availability zone. Additionally, there is a chance that replica consistency will be a problem in the event of a node loss.
AWS Control Tower Interview Questions and Answers
AWS Lake Formation Interview Questions and Answers
Ques. 16): Is Redis compatible with MemoryDB?
Answer:
Yes, MemoryDB supports the same set of Redis data types, parameters, and commands that you are accustomed to. MemoryDB also retains compatibility with open source Redis. This implies that you can utilise MemoryDB with the same application code, clients, and tools that you already use with Redis. All Redis data types, including strings, lists, sets, hashes, sorted sets, hyperloglogs, bitmaps, and streams, are supported by MemoryDB. Additionally, because MemoryDB administers your cluster for you, it supports the 200+ Redis commands with the exception of Redis admin commands.
AWS Data Pipeline Interview Questions and Answers
Amazon CloudSearch Interview Questions and Answers
Ques. 17): My data is it encrypted by MemoryDB?
Answer:
Yes, MemoryDB supports both at-rest and in-transit data encryption. You can use a MemoryDB supplied key or customer managed keys (CMK) from AWS Key Management Service for encryption at rest. Your data is encrypted in memory using always-on 256-bit DRAM encryption when using Graviton2 instances for your MemoryDB cluster.
AWS Transit Gateway Interview Questions and Answers
Amazon Detective Interview Questions and Answers
Ques. 18): What does Amazon MemoryDB for Redis' data tiering mean?
Answer:
A new price-performance feature for MemoryDB called "Data Tiling for Amazon MemoryDB for Redis" automatically transfers less-frequently accessible data from memory to high-performance, locally attached solid-state drives (SSD). Data tiering boosts MemoryDB's capacity, streamlines cluster administration, and lowers total cost of ownership (TCO).
Amazon EMR Interview Questions and Answers
Amazon OpenSearch Interview Questions and Answers
Ques. 19): How is my data securely stored via MemoryDB?
Answer:
MemoryDB uses a distributed Multi-AZ transactional log to ensure data durability, consistency, and recoverability while storing your complete data set in memory. MemoryDB offers quick database recovery and restart thanks to the distribution of data across several AZs. MemoryDB can provide lightning-fast performance and excellent throughput by additionally keeping the data in memory.
AWS FinSpace Interview Questions and Answers
AWS MSK Interview Questions and Answers
Ques. 20): What is the maximum size of a cluster that MemoryDB can support?
Answer:
A MemoryDB cluster of up to 500 nodes is created by you. With 250 primary nodes and one replica for high availability, this results in a maximum memory storage capacity of about 100 TB.
More on AWS:
AWS EventBridge Interview Questions and Answers
AWS Simple Notification Service (SNS) Interview Questions and Answers
AWS QuickSight Interview Questions and Answers
AWS SQS Interview Questions and Answers
AWS AppFlow Interview Questions and Answers
AWS QLDB Interview Questions and Answers
AWS STEP Functions Interview Questions and Answers
Amazon Managed Blockchain Questions and Answers
AWS Message Queue(MQ) Interview Questions and Answers
AWS Serverless Application Model(SAM) Interview Questions and Answers
AWS X-Ray Interview Questions and Answers
AWS Wavelength Interview Questions and Answers
AWS Outposts Interview Questions and Answers
AWS Lightsail Questions and Answers
AWS Keyspaces Interview Questions and Answers
AWS ElastiCache Interview Questions and Answers
AWS ECR Interview Questions and Answers
AWS DocumentDB Interview Questions and Answers
AWS EC2 Auto Scaling Interview Questions and Answers
AWS Compute Optimizer Interview Questions and Answers
AWS CodeStar Interview Questions and Answers
AWS CloudShell Interview Questions and Answers
AWS Batch Interview Questions and Answers
AWS App2Container Questions
and Answers
AWS App Runner Questions and
Answers
AWS Timestream Interview
Questions and Answers
AWS PinPoint Questions and
Answers
AWS Neptune Interview
Questions and Answers
No comments:
Post a Comment