November 19, 2022

Top 20 AWS DocumentDB Interview Questions and Answers

  

Fast, scalable, highly available, and fully managed enterprise document database service, Amazon DocumentDB (with MongoDB compatibility), supports MongoDB workloads. Amazon DocumentDB, a document database, makes it simple to store, search for, and index JSON data. To operate, manage, and scale workloads on Amazon DocumentDB, developers may utilise the same MongoDB application code, drivers, and tools that they employ today. Without having to worry about managing the underlying infrastructure, take advantage of better performance, scalability, and availability.

Customers may quickly and painlessly transfer their on-premises or Amazon Elastic Compute Cloud (EC2) MongoDB non-relational databases to Amazon DocumentDB using the AWS Database Migration Service (DMS). Customers simply pay for the capacity they use when using Amazon DocumentDB, which requires no upfront commitments.

 

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Ques. 1): How can I switch my existing MongoDB database's data over to Amazon DocumentDB?

Answer:

Customers may quickly and painlessly convert their on-premises or Amazon Elastic Compute Cloud (EC2) MongoDB databases to Amazon DocumentDB using the AWS Database Migration Service (DMS). You may switch from an Amazon DocumentDB sharded cluster or a MongoDB replica set using DMS. The majority of currently available tools, such as mongodump/mongorestore, mongoexport/mongoimport, and third-party programmes that enable Change Data Capture (CDC) through the oplog, may also be used to transfer data from a MongoDB database to Amazon DocumentDB.  

 

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Ques. 2): What does "MongoDB-compatible" mean?

Answer:

The term "MongoDB compatible" refers to how Amazon DocumentDB works with the MongoDB 3.6 and 4.0 open source APIs developed by Apache 2.0. Because of this, using the same MongoDB drivers, programmes, and tools with Amazon DocumentDB requires little to no modification. The great majority of the MongoDB APIs that clients actually use are supported by Amazon DocumentDB, although not all of them are. Delivering the features that customers really use and require has been our main priority.

Since the product's introduction, we have kept listening to user feedback and have added more than 80 features, including support for transactions and MongoDB 4.0.

 

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Ques. 3): How may the availability of a single Amazon DocumentDB instance be increased?

Answer:

Additional Amazon DocumentDB replicas can be added. The primary instance and Amazon DocumentDB replicas share the same underlying storage. In the case of a primary instance failure, any Amazon DocumentDB replica may be promoted to become the primary without causing any data loss, which can be leveraged to increase fault tolerance. Simply establish one to 15 replicas across several AZs to boost cluster availability, and Amazon DocumentDB will automatically include them in the failover main selection in the case of an instance failure.


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Ques. 4): How can Amazon DocumentDB increase the resilience of my cluster against disc failures?

Answer:

Your storage volume is automatically divided into 10 GB parts and distributed across many drives using Amazon DocumentDB. Your storage volume's 10 GB chunks are duplicated six different ways across three Availability Zones (AZs). The loss of up to two copies of data or up to three copies of data may be transparently handled by Amazon DocumentDB without compromising write availability or read availability. The storage volume for Amazon DocumentDB is also self-healing. Disks and data blocks are automatically checked for faults on a constant basis.


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Ques. 5): What use cases are ideal for an Amazon DocumentDB-style document database?

Answer:

One of the types of noSQL databases that is expanding the quickest is document-oriented databases, which primarily do so because they provide both flexible schemas and robust query capabilities. For use cases involving dynamic datasets that call for ad-hoc searching, indexing, and aggregations, the document model is a fantastic option. A wide range of clients utilise Amazon DocumentDB because to its scalability for use cases like content management, customization, catalogues, mobile and online apps, IoT, and profile management.


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Ques. 6): Do Amazon DocumentDB transactions support ACID?

Answer:

Yes. Amazon DocumentDB now enables atomicity, consistency, isolation, and durability (ACID) transactions across multiple documents, statements, collections, and databases with the introduction of support for MongoDB 4.0 compatibility.


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Ques. 7): Does Amazon DocumentDB allow me to encrypt my data in the background?

Answer:

Yes. You may encrypt your clusters with Amazon DocumentDB using keys that you administer using AWS Key Management Service (KMS). Data kept at rest in the underlying storage on a cluster running Amazon DocumentDB encryption is encrypted, as are its automatic backups, snapshots, and replicas in the same cluster. The processes of encryption and decryption go smoothly.


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Ques. 8): Why are resources and permissions from Amazon RDS necessary in order to utilise Amazon DocumentDB?

Answer:

Amazon DocumentDB uses operational technology that is shared with Amazon Relational Database Service (RDS) and Amazon Neptune for a few administration capabilities, including instance lifecycle management, encryption-at-rest with Amazon Key Management Service (KMS) keys, and security groups management. We advise using the argument "—filter Name=engine,Values=docdb" to filter for Amazon DocumentDB resources when using the describe-db-instances and describe-db-clusters AWS CLI APIs.


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Ques. 9): Is there a free tier for Amazon DocumentDB, and is there a free trial available?

Answer:

Yes, a free trial of one month for Amazon DocumentDB is available. You are entitled to a one-month free trial of Amazon DocumentDB if you have never used it before. For a period of 30 days, your company is given free access to a t3.medium instance for 750 hours per month, 30 million IOs, 5 GB of storage, and 5 GB of backup storage. You have the option to shut down your cluster in order to avoid being charged or to keep it operating at our usual on-demand pricing after your one-month free trial has ended or your consumption has exceeded the free allocation.

 

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Ques. 10): How scalable is Amazon DocumentDB?

Answer:

Storage and computation scalability are both features of Amazon DocumentDB. Storage for Amazon DocumentDB automatically increases in 10 GB increments up to 64 TB. The computing capacity of Amazon DocumentDB may be increased by deploying bigger instances and horizontally (for higher read throughput) by adding further replica instances to the cluster (up to 15).


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Ques. 11): What happens if I remove my cluster to my automatic backups and cluster snapshots?

Answer:

When you delete your instance, you have the option of creating one last snapshot. If you do, you may later on utilise this snapshot to bring back the destroyed instance. After the instance is removed, Amazon DocumentDB keeps this last manually made snapshot in addition to all other manually created snapshots. Following the deletion of the instance, only snapshots are maintained (i.e., automated backups created for point-in-time restore are not kept).

 

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Ques. 12): How can I access my cluster of Amazon DocumentDB?

Answer:

Amazon Elastic Compute Cloud (EC2) instances and other AWS services can directly access Amazon DocumentDB clusters that are installed within a customer's Amazon VPC (VPC). Additionally, via VPC peering, Amazon EC2 instances or other AWS services in several VPCs in the same area or in other regions may access Amazon DocumentDB. The mongo shell or MongoDB drivers must be used to access Amazon DocumentDB clusters. You must authenticate before connecting to a cluster in Amazon DocumentDB.


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Ques. 13): Is the MongoDB SSPL licence restrictive for Amazon DocumentDB?

Answer:

No. This licence does not apply to Amazon DocumentDB because it does not use any MongoDB SSPL code. Instead, Amazon DocumentDB communicates with MongoDB's 3.6 and 4.0 open-source APIs through Apache 2.0. Amazon will continue to pay attention to its customers' needs and work backward from there to provide them with the capabilities they want.

 

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Ques. 14): If my instance fails, what is my recovery path?

Answer:

Six copies of your data are automatically maintained by Amazon DocumentDB across three Availability Zones (AZs), and the service will automatically try to restore your instance in a sound AZ with no data loss. In the unusual event that your data is not available in Amazon DocumentDB storage, you may execute a point-in-time restoration operation to a new cluster or restore from a cluster snapshot. It should be noted that a point-in-time restoration operation's latest restorable time can be up to five minutes in the past.

 

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Ques. 15): My photos can I share with another AWS account?

Answer:

Yes. You can take snapshots of your cluster using Amazon DocumentDB, which you can then utilise to recover the cluster in the future. The owner of the receiving account can use your snapshot to restore a cluster that houses your data if you share it with another AWS account. Anybody may restore a cluster containing your (public) data if you decide to make your snapshots public. This functionality allows you to securely store backups of all your data in a second account in case your primary AWS account is ever compromised, communicate data between your multiple environments (production, dev/test, staging, etc.) that each have their own AWS accounts, and more.

 

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Ques. 16): How can Amazon DocumentDB speed up database recovery time?

Answer:

Unlike other databases, Amazon DocumentDB does not need to replay the redo log from the most recent database checkpoint (usually five minutes) and ensure that all changes have been made before making the database accessible for operations following a database crash. In most situations, this cuts down database restart times to around 60 seconds. When the database is restarted, Amazon DocumentDB removes the cache from the database process and makes it immediately accessible. This saves you from having to restrict access while the cache is being refilled in order to prevent brownouts.

 

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Ques. 17): What is an Amazon DocumentDB cluster's minimum and maximum storage capacity?

Answer:

Storage must be at least 10 GB. Your Amazon DocumentDB storage will automatically increase up to 64 TB in 10 GB increments based on the utilisation of your cluster, with no performance hit. Provisioning storage in advance is not necessary.

 

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Ques. 18): How long does failover take? What occurs during failover?

Answer:

Amazon DocumentDB automatically handles failover so that your applications may immediately restart database operations without the need for manual administration intervention.

When falling over, Amazon DocumentDB switches the canonical name record (CNAME) for your instance to point at the healthy replica, which is then promoted to become the new primary, depending on whether you have an Amazon DocumentDB replica instance in the same or a different Availability Zone. Failover normally takes 30 seconds to complete from beginning to end.

Amazon DocumentDB will attempt to build a new instance in the same Availability Zone as the original instance if you don't already have one (i.e., a single instance cluster). This replacement of the original instance is done on a best-effort basis and may not succeed, for example, if there is an issue that is broadly affecting the Availability Zone.

 

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Ques. 19): How can I make my cluster's backups operational?

Answer:

Amazon DocumentDB clusters always have automated backups turned on. The straightforward database backup feature of Amazon DocumentDB offers point-in-time recovery for your clusters. For point-in-time restorations, you can extend your backup window up to 35 days. Database performance is unaffected by backups.

 

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Ques. 20): Can I use Amazon DocumentDB with cross-region replicas?

Answer:

Yes, you may use the Global Cluster capability to duplicate your data across regions. Global Clusters are distributed across many AWS Regions. With little to no performance effect, global clusters replicate your data to clusters in up to five Regions. Global clusters provide low-latency global readings and offer quicker recovery from region-wide failures.

 

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