October 30, 2022

Top 20 AWS EventBridge Interview Questions and Answers


                    Without having to write any code, Amazon EventBridge offers real-time access to data changes in AWS services, your own applications, and software as a service (SaaS) applications. AWS Lambda, Amazon Simple Notification Service (SNS), and Amazon Kinesis Data Firehose are just a few of the AWS services you can choose from as targets once you've chosen an event source on the Amazon EventBridge panel. The events will be automatically delivered via Amazon EventBridge in close to real-time. 


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Ques. 1): What are the steps for using Amazon EventBridge?

Answer:

Choose an event source from a list of partner SaaS applications and AWS services by logging into your AWS account, going to the Amazon EventBridge dashboard, and selecting that source. Make sure your SaaS account is set up to emit events if you're using a partner application, then accept the source in the provided event sources section of the Amazon EventBridge console. Your event bus will be immediately created by Amazon EventBridge and used to route events. As an alternative, you can instrument your application with the AWS SDK to begin broadcasting events to your event bus. Add a target for your events and optionally configure a filtering rule; the target may be a Lambda function, for instance. The events will be automatically ingested, filtered, and sent to the specified target in a secure and highly available manner by Amazon EventBridge.


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Ques. 2): EventBridge API Destinations: What are they?

Answer:

Developers may regulate throughput and authentication while sending events back to any on-premises or SaaS apps using API Destinations. EventBridge will handle security and delivery while customers set rules with input transformations that transfer the event format to the format of the receiving service. When a rule is activated, Amazon EventBridge transforms the event in accordance with the parameters supplied and sends it to the defined web service along with the authentication data specified when the rule was created. Developers no longer have to create authentication components for the service they wish to utilise because security is already built in.

 

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Ques. 3): How are CloudWatch Events related to Amazon EventBridge?

Answer:

CloudWatch Events are improved and expanded upon by Amazon EventBridge. It makes use of the same service API, endpoint, and underpinning infrastructure. Nothing has changed for current CloudWatch Events users; you can continue to utilise the same API, CloudFormation templates, and console. Customers told us that CloudWatch Events is the best service for creating event-driven architectures, so we created new features to let customers link data from their own SaaS apps and those of other companies. We have launched this feature under the moniker Amazon EventBridge rather than under the CloudWatch service to reflect its extension outside the monitoring use case for which it was designed.

 

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Ques. 4): Which AWS services are included with Amazon EventBridge as event sources?

Answer:

Over 90 AWS services, including AWS Lambda, Amazon Kinesis, AWS Fargate, and Amazon Simple Storage Service, are available as event sources for EventBridge (S3).


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Ques. 5): How do I filter which events are delivered to a target?

Answer:

You can filter events with rules. A rule matches incoming events for a given event bus and routes them to targets for processing. A single rule can route to multiple targets, all of which are processed in parallel. Rules allow different application components to look for and process the events that are of interest to them. A rule can customize an event before it is sent to the target, by passing only certain parts or by overwriting it with a constant.  

 

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Ques. 6): What does the feature of schema discovery do?

Answer:

The procedures for locating schemas and adding them to your registry are automated by schema discovery. Each event's schema is automatically uploaded to the registry when schema discovery is enabled for an EventBridge event bus. Schema discovery will instantly update the schema in the registry if the schema of an event changes. Once a schema has been uploaded to the registry, you can create a code binding for it either in the EventBridge console or directly in your IDE. This enables you to represent the event in your code as a strongly-typed object and utilise IDE features like validation and auto-complete.


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Ques. 7): The Serverless Application Model (AWS SAM) allows for the use of schema.

Answer:

Yes, you may build new serverless apps on EventBridge for any schema as an event type using the interactive mode of the most recent AWS SAM CLI. Simply select the "EventBridge Starter App" template and the event's schema, and AWS SAM will create an application with a Lambda function that is called by EventBridge and handling code for the event. This implies that you may utilise IDE tools like validation and auto-complete and treat an event trigger like a regular object in your code.

AWS Toolkit for Visual Studio Code and the AWS Toolkit for Jetbrains (Intellij, PyCharm, Webstorm, Rider) plugins both offer the ability to create serverless apps from this template with a schema acting as a trigger right inside of these IDEs.

 

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Ques. 8): How can writing less code using the schema registry benefit me?

Answer:

In order to avoid having to manage your event schema manually, you can first utilise schema discovery to automatically identify schema for any events transmitted to your EventBridge event bus and save them in the registry. Second, you can develop and download code bindings for this schema when creating apps that process events on your bus so that you can use strongly-typed objects right away. Deserialization, validation, and guesswork for your event handler are all avoided as a result.

 

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Ques. 9): How can I protect my use of Amazon EventBridge?

Answer:

You can define the actions that a user within your AWS account is permitted to take by integrating Amazon EventBridge with AWS Identity and Access Management (IAM). You could, for instance, set an IAM policy that allows only specific users in your company to add event targets or create event buses.

 

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Ques. 10): What justifies my use of global endpoints?

Answer:

By reducing the quantity of data at risk during service interruptions, global endpoints assist you in giving your end users a better experience. By being able to failover your event ingestion to a backup region automatically and without the need for manual intervention, you can increase the stability and resilience of your event-driven applications. To decide whether to failover and when to transport events back to the primary region, you can freely set failover criteria using CloudWatch Alarms (through Route53 health checks).

 

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Ques. 11): What are the Recovery Point Objective (RPO) and Expected Recovery Time Objective (RTO)?

Answer:

The Recovery Time Objective (RTO) is the period of time following a failure when the backup Region or target will begin to receive new events. The amount of data that will remain unprocessed in the event of a failure is measured by the Recovery Point Objective (RPO). The RTO and RPO for global endpoints will be 360 seconds provided you adhere to our prescriptive recommendations for alarm setting (with a maximum of 420). When calculating RTO, the time is taken into account for setting off CloudWatch Alarms and updating Route53 health check statuses. Events that are not copied to the secondary region and remain in the primary region until the service or region recovers are included in the RPO time.

 

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Ques. 12): EventBridge Archive and Replay Events: What Is It?

Answer:

Customers can reprocess previous events back to an event bus or a specific EventBridge rule using the new feature Event Replay for Amazon EventBridge. Developers can use this functionality to quickly debug their apps, extend them by hydrating targets with historical events, and fix mistakes. Developers may rest easy knowing that they will always have access to any event submitted to EventBridge thanks to Event Replay.

 

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Ques. 13): Why would I use Amazon EventBridge into my SaaS application?

Answer:

SaaS vendors can easily integrate their services with the event-driven architectures created by their clients and hosted on AWS thanks to Amazon EventBridge. Millions of AWS developers may now directly access your product thanks to Amazon EventBridge, opening up new applications. It provides an entirely safe, scalable, and auditable solution to convey events without requiring the SaaS vendor to handle any eventing infrastructure.

 

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Ques. 14): Does Amazon EventBridge allow me to publish my own events?

Answer:

Yes. Through the use of the service's APIs, you can create unique application-level events and publish them to Amazon EventBridge. Additionally, you can create scheduled events that are generated on a regular basis and process these events in any of the available targets for Amazon EventBridge.

 

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Ques. 15): What is the price of the schema registry?

Answer:

The schema registry is free to use, however when you enable schema discovery, there is a fee per ingested event. The majority of development consumption should be covered by the free tier of 5M ingested events offered by schema discovery each month. For usage above the free tier, there is an extra charge of $0.10 per million ingested events.


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 Ques. 16): When should I make use of Amazon SNS and when of Amazon EventBridge?

Answer:

Your choice will depend on your particular requirements, but you may create event-driven apps using both Amazon EventBridge and Amazon SNS. When creating an application that responds to events from SaaS applications and/or AWS services, Amazon EventBridge is advised. The only event-based service that interacts directly with external SaaS providers is Amazon EventBridge. Without needing developers to create any resources in their account, Amazon EventBridge also automatically ingests events from over 90 AWS services. Over 15 AWS services, including Amazon Lambda, Amazon SQS, Amazon SNS, Amazon Kinesis Streams, and Kinesis Data Firehose, are presently supported as targets by Amazon EventBridge. With a limited throughput at launch that can be expanded upon request and an average latency of about half a second, Amazon EventBridge is currently in beta.

 

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Ques. 17): How should I failover my global endpoint? What metrics should I use?

Answer:

In order to make it simple for you to identify whether there are any difficulties with EventBridge that would necessitate you failovering your event ingestion to the secondary region, we have added a new measure that shows the end-to-end latency of Amazon EventBridge. By offering a pre-populated CloudFormation stack (that you may alter if you so desire) for setting a CloudWatch Alarm and Route53 Health Checks in the console, AWS has made it simple for you to get started.

 

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Ques. 18): Do I need to enable replication?

Answer:

Yes. To reduce the amount of data that is vulnerable during a service failure, replication should be enabled. You can update your applications to publish your events to the global endpoint after setting up your custom buses in both regions and making the global endpoint. By doing this, after the problem is resolved, your incoming events will be copied back to the primary area. To ensure that none of your events are lost in the event of a disruption, you can archive your events in the secondary region. You can replicate your design in the secondary zone to carry on processing events while you swiftly recover from disturbances. In order to assure automatic recovery once the problem has been resolved, you must additionally enable replication.

 

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Ques. 19): Should I failover my global endpoint using metrics from my subscriber?

Answer:

We don't advise integrating subscriber metrics in your health check because doing so can force your publisher to switch to the backup area if one subscriber has a problem even though all the others are fine in the primary region. You should enable replication if one of your subscribers in the primary region isn't processing events properly in order to make sure that your subscriber in the secondary region can.


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Ques. 20): How does a global endpoint increase my applications' availability?

Answer:

Events are routed to the event bus in your main area after they are published to the global endpoint. Your healthcheck is flagged as unhealthy and incoming events are directed to the secondary area if faults are found in the primary region. Using CloudWatch Alarms (through Route53 health checks) that you set, errors can be quickly found. As soon as the problem is resolved, AWS routes fresh events back to the original Region and get on with event processing.

 



October 07, 2022

Top 20 AWS MSK Interview Questions and Answers


                    Developers and DevOps managers can easily run Apache Kafka applications and Kafka Connect connectors on AWS without having to become experts in Apache Kafka administration thanks to Amazon Managed Streaming for Apache Kafka (Amazon MSK), an AWS streaming data service that manages Apache Kafka infrastructure and operations. Streaming data application development is sped up by Amazon MSK's built-in AWS connectors, enterprise-grade security capabilities, and ability to administer, maintain, and grow Apache Kafka clusters.





Ques: 1). What is streaming data in AWS MSK?  

Answer:

The answer is that streaming data is a constant stream of brief recordings or events—typically only a few kilobytes in size—produced by tens of thousands of equipment, gadgets, websites, and software programmes. A wide range of data, including log files produced by users of your mobile or web applications, e-commerce purchases, in-game player activity, information from social networks, trading information from financial trading floors, geospatial services, security logs, metrics, and telemetry from connected devices or instrumentation in data centres are all examples of streaming data. Continuously gathering, processing, and delivering streaming data is made simple for you by streaming data services like Amazon MSK and Amazon Kinesis Data Streams.




 
Ques: 2). What does Amazon MSK really do as open-source service?

Answer:

Apache Kafka open-source versions may be easily installed and deployed on AWS with excellent availability and security thanks to Amazon MSK. Additionally, Amazon MSK provides AWS service integrations without the operational burden of maintaining an Apache Kafka cluster. While the service supports the setup, provisioning, AWS integrations, and ongoing maintenance of Apache Kafka clusters, Amazon MSK enables you to use open-source versions of Apache Kafka.




Ques: 3). What are Apache Kafka's fundamental ideas?

Answer:

Topics are how Apache Kafka stores records. Consumers read records from subjects, and data producers write records to topics. In Apache Kafka, each record is made up of a key, a value, a timestamp, and occasionally header metadata. Apache Kafka divides topics into replicas that are replicated over several brokers, or nodes. A highly available cluster of brokers running Apache Kafka may be created by placing brokers in different AWS availability zones. When it comes to managing state for services communicating with an Apache Kafka cluster, Apache Kafka depends on Apache ZooKeeper.



Ques: 4). How can I get access to the Apache Kafka broker logs?

Answer:

For provisioned clusters, broker log delivery is an option. Broker logs may be sent to Amazon Kinesis Data Firehose, Amazon Simple Storage Service (S3), and Amazon CloudWatch Logs. Among other places, Kinesis Data Firehose supports Amazon OpenSearch Service.



Ques: 5). How can I keep track of consumer lag?

Answer:

The standard collection of metrics that Amazon MSK delivers to Amazon CloudWatch for all clusters includes topic-level consumer latency indicators. For these metrics to be obtained, no further setup is needed. You may also obtain consumer latency data at the partition level for provisioned clusters (partition dimension). On your cluster, turn on enhanced monitoring (PER PARTITION PER TOPIC). As an alternative, you may use a Prometheus server to activate Open Monitoring on your cluster and collect partition-level metrics from the cluster's brokers. Consumer latency measurements, like other Kafka metrics, are accessible through port 11001.


 
Ques: 6). How does Amazon MSK handle data replication?

Answer:

To replicate data between brokers, Amazon MSK leverages the leader-follower replication feature of Apache Kafka. Clusters with multi-AZ replication may be easily deployed using Amazon MSK, and you have the option to apply a specific replication technique for each topic. Every replication option by default deploys and isolates leader and follower brokers according to the replication technique chosen. A cluster of three brokers will be created by Amazon MSK (one broker in three AZs in a region), for instance, if you choose a three AZ broker replication strategy with one broker per AZ cluster. By default (unless you choose to override the topic replication factor), the topic replication factor will also be three.



Ques: 7). MSK Serverless: What is it?

Answer:

You may operate Apache Kafka clusters using MSK Serverless, a cluster type for Amazon MSK, without having to worry about managing computation and storage capacity. You just pay for the data volume that you stream and keep when using MSK Serverless, which allows you to execute your apps without needing to setup, configure, or optimise clusters.



 
Ques: 8). What security features are available with MSK Serverless?

Answer:

Using service-managed keys obtained from the AWS Key Management Service, MSK Serverless encrypts all data in transit and at rest (KMS). AWS PrivateLink is used by clients to establish private connections to MSK Serverless, shielding your traffic from the public internet. IAM Access Control, another feature of MSK Serverless, allows you to control client authorization and client authentication for Apache Kafka resources like topics.



 
Ques: 9). What do I require to provision a cluster of Amazon MSK?

Answer:

With each cluster you build for provided clusters, you must provision broker instances and broker storage. Storage throughput for storage volumes is an optional provision that may be used to expand I/O without the need for additional brokers. Nodes for Apache ZooKeeper are already included with each cluster you establish, so you don't need to supply them. You just construct a cluster as a resource for serverless clusters.


 

Ques: 10). How does Amazon MSK handle authorization?

Answer:

If you are using IAM Access Control, Amazon MSK authorises actions based on the policies you create and its own authorizer. Apache Kafka employs access control lists (ACLs) for authorisation if you are utilising SASL/SCRAM or TLS certificate authentication. You must enable client authentication using SASL/SCRAM or TLS certificates in order to activate ACLs.


 

Ques: 11). What is the maximum data throughput capacity supported by MSK Serverless?

Answer:

Up to 200 MBps of write throughput and 400 MBps of read capacity per cluster are offered by MSK Serverless. Additionally, MSK Serverless allots up to 5 MBps of immediate write capacity and 10 MBps of instant read capacity per partition to guarantee enough throughput availability for every partition in a cluster.



 
Ques: 12). What high availability measures does MSK Serverless take?

Answer:

When a partition is created, MSK Serverless makes two copies of it and stores them in various availability zones. To provide high availability, MSK serverless automatically finds and restores malfunctioning backend resources.
 




Ques: 13). How can I set up my first MSK cluster on Amazon?

Answer:

Using the AWS administration console or the AWS SDKs, you can quickly establish your first cluster. To construct an Amazon MSK cluster, first choose an AWS region in the Amazon MSK dashboard. Give your cluster a name, decide the Virtual Private Cloud (VPC) you want to use to run it, and select the subnets for each AZ. You may select a broker instance type, the number of brokers per AZ, and the amount of storage per broker when constructing a provisioned cluster.




Ques: 14). Does Amazon MSK run in an Amazon VPC?

Answer:

Yes, Amazon MSK always operating inside an Amazon VPC that is overseen by the Amazon MSK service. When the cluster is configured, the Amazon MSK resources will be accessible to your own Amazon VPC, subnet, and security group. Elastic network interfaces (ENIs), which connect IP addresses from your VPC to your Amazon MSK resources, ensure that all network traffic stays within the AWS network and is not by default available to the internet.



Ques: 15). Between my Apache Kafka clients and the Amazon MSK service, is data secured in transit?

Answer:

Yes, only clusters established using the CLI or AWS Management Console have in-transit encryption configured by default to TLS. For clients to communicate with clusters utilising TLS encryption, further setup is needed. By choosing the TLS/plaintext or plaintext options, you may modify the default encryption configuration for supplied clusters. Study up on MSK Encryption.


 
Ques: 16). How much do the various CloudWatch monitoring levels cost?

Answer:

The size of your Apache Kafka cluster and the monitoring level you choose will determine how much it costs to monitor your cluster using Amazon CloudWatch. Amazon CloudWatch has a free tier and charges monthly based on metrics.


 
Ques: 17). Which monitoring tools are compatible with Prometheus' Open Monitoring?

Answer:

Open Monitoring is compatible with tools like Datadog, Lenses, New Relic, Sumo Logic, or a Prometheus server that are made to read from Prometheus exporters.



 
Ques: 18). Are my clients' connections to an Amazon MSK cluster secure?

Answer:

By default, a private connection between your clients in your VPC and the Amazon MSK cluster is the only way data may be generated or consumed from an Amazon MSK cluster. But if you enable public access for your Amazon MSK cluster and use the public bootstrap-brokers string to connect to it, the connection—while authenticated, permitted, and encrypted—will no longer be regarded as private. If you enable public access, it is advised that you setup the cluster's security groups to include inbound TCP rules that permit public access from your trusted IP address and to make these rules as stringent as feasible.


 

Ques: 19). Is it possible to move data from my current Apache Kafka cluster to Amazon MSK?

Answer:

Yes, you may duplicate data from clusters onto an Amazon MSK cluster using third-party tools or open-source tools like MirrorMaker, supported by Apache Kafka. To assist you with completing a migration, Amazon provides an Amazon MSK migration lab.


 
Ques: 20). How do I handle data processing for my MSK Serverless cluster?

Answer:

You can process data in your MSK Serverless cluster topics using any technologies that are Apache Kafka compliant. MSK Serverless interacts with AWS Lambda for event processing and Amazon Kinesis Data Analytics for stateful stream processing using Apache Flink. Kafka Connect sink connectors may be used to transmit data to any desired location.
 



Top 20 AWS FinSpace Interview Questions and Answers


                    A data management and analytics solution specifically designed for the financial services sector is called Amazon FinSpace (FSI). By using FinSpace, you can discover and prepare petabytes of financial data in minutes as opposed to months, making analysis possible.

Finding and sharing data throughout your firm in accordance with your compliance needs is simple with FinSpace. FinSpace enforces your data access controls while maintaining audit logs to support compliance and activity monitoring. You create your data access policies in one location. You may prepare data for analysis using FinSpace's library of more than 100 functions, which includes tools like time bars and Bollinger bands.


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Ques: 1). What could be the best reason to use FinSpace?

Answer:

FinSpace makes it easier for consumers of financial services to find data, have access to it, and change it so that it is ready for analysis—saving them months of preparation time.

In order to develop investment models, manage risk, and enhance customer experience, financial services firms rely on hundreds of datasets that are provided internally or externally. Since consumers want to employ more diversified datasets and computational resources can't keep up with the newest methods and data quantities, it is currently taking analysts an increasing amount of time to evaluate new research hypotheses. By minimising the time spent looking for data, gaining access to the data, and getting the computational resources required to match their data quantities, FinSpace enables data analysts to be more productive and flexible.


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Ques: 2). What do you understand by Amazon FinSpace?

Answer:

The financial services industry (FSI) customers can now find and access all types of financial data for analysis in just a few minutes thanks to Amazon FinSpace, a fully managed data management and analytics service that makes it simple to store, catalogue, and prepare financial industry data at scale.

Financial services companies examine petabytes of data from external data sources, including historical stock exchange prices for securities, as well as data from internal data stores like portfolio, actuarial, and risk management systems. Finding the appropriate data, obtaining authorization to access the data in a compliant manner, and getting the data ready for analysis might take months.


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Ques: 3). How can I connect Amazon FinSpace with my current enterprise data lake (EDL)?

Answer:

You may create connectors with an existing business data lake and ingest data from S3 using FinSpace APIs.


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Ques: 4). How can you start using FinSpace?

Answer:

Create a FinSpace environment after logging into the AWS Management Console and selecting "Amazon FinSpace" under the Analytics section to begin utilising Amazon FinSpace. To make it simple to assess FinSpace's features and capabilities, we have included an example dataset that is often used in capital markets. Users may drag and drop files from their desktop into the FinSpace online application. Developers may consume data straight from S3 using FinSpace's SDK.

 

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Ques: 5). How can I monitor activity in FinSpace for compliance and auditing purposes?

Answer:

FinSpace records user logins, dataset and metadata actions, data access, and usage of computing resources automatically so that you can always see who is accessing what data and how. Using the FinSpace Audit Report capability, you may create and export activity reports.


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Ques: 6). I need to know how to upload data to Amazon FinSpace.

Answer:

To programmatically ingest data into FinSpace, you can utilise the Amazon FinSpace API. Files may also be put into the FinSpace online application directly using drag-and-drop.


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Ques: 7). What kinds of safety precautions does Amazon FinSpace have?

Answer:

Amazon FinSpace makes sure that both in transit and at rest, all data maintained within the application is secured. The FinSpace API and web application are accessed using secure (SSL) connections that employ TLS 1.2. Using SAML, you may connect to the identity provider (IdP) for your company. All information saved in Amazon FinSpace will be encrypted using a customer-managed customer master key (CMK) provided by AWS Key Management Service (KMS). A single tenant solution offering network and data isolation is Amazon FinSpace.


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Ques: 8). How is managing data access policies made simple for me by FinSpace?

Answer:

FinSpace offers fine-grained access control combined with the ability to form user groups and assign those groups to datasets.


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Ques: 9). In Amazon FinSpace, how am I invoiced or charged?

Answer:

With Amazon FinSpace, you only pay for the people who use the application, the monthly storage you utilise, and the clusters that process and analyse your data. You only pay for the gigabytes of data that you upload to FinSpace, prorated based on the number of hours the data is kept. Each user that has access to FinSpace is charged a monthly subscription. Depending on how many hours a user is enabled, the monthly fee is prorated.


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Ques: 10). How can I control access to data in FinSpace?

Answer:

A FinSpace environment is created, and data is loaded into it. For that FinSpace environment, you create users. By adding people to User groups, you may provide them access rights to data. FinSpace assigns user groups, rather than an individual user, with the authority to carry out certain actions. Fine-grained authorization user groups can be applied to datasets.


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Ques: 11). Is streaming data supported by FinSpace?

Answer:

In order to do historical analysis on the data, you may gather streaming data into change sets and put them into FinSpace using the FinSpace API.


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Ques: 12). How can I gain access to information kept in Amazon FinSpace?

Answer:

Depending on the access permissions set up in FinSpace, you can access data in Amazon FinSpace using the web application, which includes a notebook, or FinSpace APIs to access data using protected S3 access.


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