Top 20 AWS Transit Gateway Interview Questions and Answers

 

AWS Transit Gateway is a central hub that links your Amazon Virtual Private Clouds (VPCs) and on-premises networks. This streamlines your network and eliminates complicated peering arrangements. It functions as a cloud router, establishing new connections only once.

AWS(Amazon Web Services) Interview Questions and Answers

Ques. 1): How do I decide which Amazon Virtual Private Clouds (VPCs) are allowed to speak with one another?

Answer:

Create numerous route tables in an AWS Transit Gateway and attach Amazon VPCs and VPNs to them to partition your network. This allows you to construct isolated networks within an AWS Transit Gateway, similar to how VRFs are used in traditional networks. There will be a default route table for the AWS Transit Gateway. Multiple route tables can be used if desired.

AWS Cloud Interview Questions and Answers

Ques. 2): What is the definition of a global network?

Answer:

In the AWS Transit Gateway Network Manager service, a 'Global Network' object represents your private global network in AWS. Your AWS Transit Gateway hubs, attachments, AWS partner SD-WAN network virtual appliances, and on-premises devices, sites, linkages, and connections are all included.

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Ques. 3): In the same multicast domain, can I have both IGMP and static members?

Answer:

Yes, in the same multicast domain, you may have both IGMP and static members. By delivering IGMPv2 messages, IGMP-capable participants can dynamically join or exit a multicast group. Using the terminal, CLI, or SDK, you may add or delete static members from a multicast group.

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Ques. 4): How does AWS Transit Gateway's routing work?

Answer:

Between connected Amazon VPCs and VPNs, AWS Transit Gateway provides both dynamic and static routing. The default route table is associated with Amazon VPCs, VPNs, Direct Connect gateways, Transit Gateway Connect, and peered Transit Gateways by default. You may associate Amazon VPCs, Direct Connect gateways, VPNs, Transit Gateway Connect, and peered Transit Gateways with extra route tables.

Depending on the packet's destination IP address, the routes determine the next hop. Routes can be configured to point to an Amazon VPC, a VPN connection, a Direct Connect gateway, a Transit Gateway Connect, or a peered Transit Gateway.

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Ques. 5): What is AWS Transit Gateway Network Manager, and how does it work?

Answer:

The Network Manager function of AWS Transit Gateway is a feature of AWS Transit Gateway. It centralises networking resource administration and monitoring, as well as connectivity to remote branch sites.

 

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Ques. 6): Is it possible to link Amazon VPCs with the same CIDRs?

Answer:

Routing across Amazon VPCs with identical CIDRs is not supported by AWS Transit Gateway. If you create a new Amazon VPC with a CIDR that is the same as an existing Amazon VPC, AWS Transit Gateway will not add the new Amazon VPC route to the AWS Transit Gateway route database.

 

AWS Cloud Practitioner Essentials Questions and Answers

Ques. 7): For the GRE tunnel and BGP addresses, can I use various address families?

Answer:

Yes, the GRE tunnel and BGP addresses can be in the same or distinct address families. You can, for example, set the GRE tunnel to use IPv4 addresses and the BGP addresses to use IPv6 addresses, and vice versa.

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Ques. 8): What is AWS Transit Gateway Connect, and how does it work?

Answer:

A feature of AWS Transit Gateway is AWS Transit Gateway Connect. The native integration of SD-WAN (Software-Defined Wide Area Network) network virtual appliances into AWS Transit Gateway facilitates branch connectivity. Connect attachment is a new logical attachment type provided by AWS Transit Gateway Connect that uses Amazon VPC or AWS Direct Connect attachments as the underlying network transport. Over the Connect attachment, it supports common protocols including Generic Routing Encapsulation (GRE) and Border Gateway Protocol (BGP).

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Ques. 9): Is it possible to share a multicast Transit Gateway?

Answer:

Yes, you may share a transit gateway multicast domain for VPC subnet associations between accounts or throughout your company in AWS Organizations using AWS Resource Access Manager (RAM).

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Ques. 10): Can I link my AWS Transit Gateway to another account's Direct Connect gateway?

Answer:

Yes, you can link your AWS Transit Gateway to a separate AWS account's AWS Direct Connect gateway. An affiliation to a Direct Connect gateway can only be created by the owner of the AWS Transit Gateway. You can't link your AWS Transit Gateway to your Direct Connect gateway with Resource Access Manager.

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Ques. 11): Is it possible to link a route table to a Connect attachment?

Answer:

Yes, you may associate a route table with the Connect attachment, just like you can with any other Transit Gateway attachment. This route table might be the same as or different from the route table associated with the VPC or AWS Direct Connect (underlying transport mechanism) attachment.

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12) Which Amazon VPC functionalities aren't available in the first release?

Answer:

At this time, Amazon VPC does not enable Security Group Referencing. Security groups in other spokes linked to the same AWS Transit Gateway cannot be referenced by spoke Amazon VPCs.

AWS SageMaker Interview Questions and Answers

Ques. 13): What is the process for propagating routes into the AWS Transit Gateway?

Answer:

In the AWS Transit Gateway, routes are propagated in two ways:

Propagation of routes to/from on-premises networks: Routes will propagate between the AWS Transit Gateway and your on-premises router utilising Border Gateway Protocol when you connect VPN or Direct Connect Gateway (BGP).

Routes to/from Amazon VPCs: When you attach or resize an Amazon VPC to an AWS Transit Gateway, the Amazon VPC Classless Inter-Domain Routing (CIDR) will propagate into the AWS Transit Gateway route table utilising internal APIs (not BGP). CIDR is a technique of allocating IP addresses and IP routing that helps to reduce the expansion of routing tables on routers throughout the Internet and the quick expiration of IPv4 addresses. The Amazon VPC's route table will not receive routes from the AWS Transit Gateway route table. To transmit traffic to the AWS Transit Gateway, the VPC owner must construct a static route.

Route propagation is not supported via peering links between Transit Gateways. To send traffic on peering attachments, you must construct static routes in the Transit gateway route tables.

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Ques. 14): AWS Transit Gateway complies with which compliance programmes?

Answer:

AWS Transit Gateway inherits Amazon VPC compliance and fulfils PCI DSS Level 1, ISO 9001, ISO 27001, ISO 27017, ISO 27018, SOC 1, SOC 2, SOC 3, FedRAMP Moderate, FedRAMP High, and HIPAA compliance requirements.

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Ques. 15): What is the procedure for installing AWS Transit Gateway Network Manager?

Answer:

To set up and operate Transit Gateway Network Manager, follow the steps below:

Create a new 'global network' object that is initially empty.

AWS Transit Gateways can be registered from any AWS Region.

Adding on-premises and cloud resources: Enter details about your on-premises and cloud devices, sites, links, and connections. Connect peers and the Site-to-Site VPN connections they're connected to.

Network Manager's visualisations, events, and analytics let you keep track of your worldwide network.

 

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Ques. 16): When I register an AWS Transit Gateway, what resources are immediately added to the global network?

Answer:

All attachments are automatically added for registered AWS Transit Gateways. VPCs, VPNs, Direct Connect gateways, AWS Transit Gateway Connect, and AWS Transit Gateway peering are examples of attachments.

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Ques. 17): To route multicast traffic, which attachment kinds may I use?

Answer:

You may use a Transit Gateway to transport multicast traffic inside and between VPC attachments. AWS Direct Connect, AWS Site-to-Site VPN, and peering attachments do not enable multicast routing.

 

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Ques. 18): Is AWS Transit Gateway Connect compatible with IPv6?

Answer:

Yes, IPv6 is supported by AWS Transit Gateway Connect. IPv6 addresses can be configured for both the GRE tunnel and the Border Gateway Protocol (BGP).

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Ques. 19): AWS Transit Gateway Network Manager is supported by which AWS partners?

Answer:

A number of notable SD-WAN partners support AWS Transit Gateway Network Manager. For further information, please see the Partners page. Their SD-WAN solutions' integration of Network Manager allows you to automate branch-cloud connectivity and delivers end-to-end network monitoring from a single dashboard.

 

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Ques. 20): What appliances are compatible with AWS Transit Gateway Connect?

Answer:

AWS Transit Gateway Connect will operate with any third-party network appliances that support standard protocols like GRE and BGP.

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Top 20 Amazon CloudSearch Interview Questions and Answers

 

Amazon CloudSearch is a managed service in the AWS Cloud that makes setting up, managing, and scaling a search solution for your website or application simple and cost-effective.

Amazon CloudSearch is available in 34 languages and includes popular search features including highlighting, autocomplete, and geographical search.

With Amazon CloudSearch, you can quickly add rich search capabilities to your website or application. You don't need to become a search expert or worry about hardware provisioning, setup, and maintenance. With a few clicks in the AWS Management Console, you can create a search domain and upload the data that you want to make searchable, and Amazon CloudSearch will automatically provision the required resources and deploy a highly tuned search index.

AWS(Amazon Web Services) Interview Questions and Answers

Ques. 1): How can you rapidly add rich search features to your website or application with Amazon CloudSearch?

Answer:

You won't have to learn how to search or bother about hardware provisioning, setup, or maintenance. You can build a search domain and upload the data you want to make searchable with a few clicks in the AWS Management Console, and Amazon CloudSearch will automatically supply the resources and deploy a finely tailored search index.

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Ques. 2): Is there a financial benefit to adopting the latest Amazon CloudSearch version?

Answer:

On each instance type, the current version of Amazon CloudSearch has enhanced index compression and support for bigger indexes. As a consequence, the new edition of Amazon CloudSearch is more efficient than the old one and can save you money.

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Ques. 3): What is the definition of a search engine?

Answer:

A search engine allows you to rapidly locate the best matched results by searching enormous collections of largely textual data items (called documents). The most common type of search request is a few words of unstructured text, such as "matt damon movies." The best matched, or most relevant, items are generally listed first in the returning results (the ones that are most "about" the search words).

Documents can be fully unstructured or have various fields that can be searched separately if desired. For example, a movie search service may include documents with title, director, actor, description, and reviews fields. A search engine's results are usually proxies for the underlying content, such as URLs that point to specific web pages. The search service, on the other hand, may retrieve the actual contents of particular fields.

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Ques. 4): How can I restrict access to my search domain for certain users?

Answer:

For the configuration service and all search domain services, Amazon CloudSearch enables IAM integration. You may give users complete access to Amazon CloudSearch, limit their access to select domains, and allow or disallow certain operations.

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Ques. 5): What are the advantages of Amazon CloudSearch?

Answer:

Amazon CloudSearch is a fully managed search service that expands automatically to meet the volume of data and complexity of search queries in order to provide quick and accurate results. Customers may use Amazon CloudSearch to provide search functionality without having to worry about managing servers, traffic and data scalability, redundancy, or software packages. Users only pay for the resources they use at modest hourly rates. When compared to owning and administering your own search environment, Amazon CloudSearch can provide a much reduced total cost of ownership.

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Ques. 6): How can I figure out the instance type to use for my first setup?

Answer:

Start with the default settings of a single tiny search instance for datasets of less than 1 GB of data or less than one million 1 KB documents. Consider pre-warming the domain by specifying the preferred instance type for bigger data sets. Start with a big search instance for data sets up to 8 GB. Start with an extra big search instance for datasets between 8 and 16 GB. Start with a double extra big search instance for datasets between 16 and 32 GB.

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Ques. 7): Is it possible to utilise Amazon CloudSearch in conjunction with a storage service?

Answer:

A storage service and a search service work together. Your documents must already be saved someplace for a search service to work, whether it's in files on a file system, data in Amazon S3, or records in an Amazon DynamoDB or Amazon RDS instance. The search service is a quick retrieval system that indexes those objects and makes them searchable with sub-second latency.

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Ques. 8): What is the purpose of the new Multi-AZ feature? Will there be any downtime if something goes wrong with my system?

Answer:

When you select the Multi-AZ option, Amazon CloudSearch instances in either zone may handle the full load in the case of a failure. If a service outage occurs or instances in one Availability Zone become unusable, Amazon CloudSearch redirects all traffic to the other Availability Zone. Without any administrator intervention or service disturbance, redundant instances are restored in a different Availability Zone.

Some in-flight searches may fail and must be performed again. Updates provided to the search domain are saved indefinitely and will not be lost if the server goes down.

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Ques. 9): Is it possible to utilise Amazon CloudSearch with a database?

Answer:

Databases and search engines aren't mutually exclusive; in fact, they're frequently utilised together. If you already have a database with structured data, you might use a search engine to intelligently filter and rank the contents of the database using search terms as relevance criteria.

Both organised and unstructured data may be indexed and searched using a search service. Content can come from a variety of places, including database fields, files in various formats, web pages, and so on. A search service can allow custom result ranking as well as unique search capabilities like utilising facets for filtering that aren't accessible in databases, such as using facets for filtering.

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Ques. 10): What is the maximum amount of data I can store on my search domain?

Answer:

The number of partitions you'll require is determined by your data and setup, therefore the most data you may upload is the set of data that results in 10 search partitions when your search configuration is applied. Your domain will cease accepting uploads if you reach your search partition limit unless you remove documents and re-index it.  

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Ques. 11): What are the most recent instance types for CloudSearch?

Answer:

To replace the earlier CloudSearch instance types, we announced new CloudSearch instance types in January 2021. Search.small, search.medium, search.large, search.xlarge, and search.2xlarge are the most recent CloudSearch instances, and they are one-to-one replacements for previous instances; for example, search.small replaces search.m1.small. The new instances are built on top of the current generation of EC2 instance types, resulting in improved availability and performance at the same price.

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Ques. 12): How does my search domain scale to suit the requirements of my application?

Answer:

Data and traffic scale in two dimensions in search domains. As your data volume rises, you'll need additional (or larger) Search instances to hold your indexed data, and your index will be divided amongst them. Each Search Partition must be replicated when your request volume or complexity grows, providing more CPU for that Search Partition. If your data requires three search partitions, for example, your search domain will have three search instances. When your traffic exceeds the capability of a single search instance, each partition is duplicated to offer extra CPU capacity, thereby expanding your search domain to three search instances. Additional copies, up to a maximum of 5, will be added to each search partition as traffic grows.

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Ques. 13): My domain hosts CloudSearch instances from the previous generation, such as search.m2.2xlarge. Is my domain going to be migrated?

Answer:

Yes, in later rounds of the migration, your domain will be transferred to corresponding new instances. Search.m2.2xlarge, for example, will be renamed to search.previousgeneration.2xlarge. These instances are the same price as the old instances, but they give improved domain stability.

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Ques. 14): What exactly is faceting?

Answer:

Faceting allows you to group your search results into refinements, which the user may then utilise to do more searches. For instance, if a user searches for "umbrellas," facets allow you to sort the results by price ranges like $0-$10, $10-$20, $20-$40, and so on. Result counts may also be incorporated in facets in Amazon CloudSearch, such that each refinement contains a count of the number of documents in that group. For instance, $0-$10 (4 things), $10-$20 (123 items), $20-$40 (57 items), and so on.

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Ques. 15): What is the best way to change our domains to reflect the new instances?

Answer:

Your domain will be effortlessly moved to the new instances. You are not required to take any action. Amazon will execute this migration in stages over the following few weeks, starting with domains that are using the CloudSearch 2013 version. Once your domain has been upgraded to the new instance types, you will receive a message in the console. Any new domains you establish will start using the new instances immediately.

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Ques. 16): What data types does Amazon CloudSearch support in its latest version?

Answer:

Amazon Text and literal text fields are supported by CloudSearch. Individual words that potentially serve as matches for queries are determined by processing text fields according to the language defined for the field. Literal fields, including case, are not processed and must match perfectly. In addition, CloudSearch supports the following numeric types: int, double, date, and latlon. Signed 64-bit integer values are stored in int fields. Floating point values of double width are stored in double fields. Date fields store dates in UTC (Universal Time) format, as defined by IETF RFC3339: yyyy-mm-ddT00:00:00Z. A location is kept as a latitude and longitude value pair in Latlon fields.

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Ques. 17): Is it possible to use the console to access the latest version of Amazon CloudSearch?

Answer:

Yes. You may use the console to access the updated version of Amazon CloudSearch. You may choose the version of Amazon CloudSearch you wish to use when creating new search domains if you're an existing Amazon CloudSearch client with existing search domains. New clients will be automatically switched to the new version of Amazon CloudSearch, with no access to the 2011-01-01 version.

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Ques. 18): Is it possible to use Amazon CloudSearch with several AZs?

Answer:

Yes. Multi-AZ installations are supported by Amazon CloudSearch. When you choose the Multi-AZ option, Amazon CloudSearch creates and maintains additional instances in a second Availability Zone for your search domain to provide high availability. Updates are applied to both Availability Zones' instances automatically. In the case of a failure, search traffic is dispersed over all instances, and instances in either zone are capable of bearing the full load.

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Ques. 19): Is it necessary for my documents to be in a specific format?

Answer:

You must format your data in JSON or XML to make it searchable. A document represents each item you wish to be able to obtain as a search result. Every document includes a unique document ID as well as one or more fields containing the data you wish to search for and return in results. According to the index fields set for the domain, Amazon CloudSearch creates a search index from your document data. You submit modifications to add or remove documents from your index as your data changes.

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Ques. 20): What steps can you take to avoid 504 errors?

Answer:

Try switching to a bigger instance type if you're getting 504 problems or a lot of replication counts. If you're experiencing trouble using m3.large, for example, try m3.xlarge. If you're still getting 504 problems after pre-scaling, batch the data and lengthen the time between retries.

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Top 20 AWS Data Pipeline Interview Questions and Answers

 

AWS Data Pipeline is a web service that enables you to process and move data between AWS computing and storage services, as well as on-premises data sources, at predetermined intervals. You may use AWS Data Pipeline to frequently access your data, transform and analyse it at scale, and efficiently send the results to AWS services like Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR.

AWS Data Pipeline makes it simple to build fault-tolerant, repeatable, and highly available data processing workloads. You won't have to worry about resource availability, inter-task dependencies, retrying temporary failures or timeouts in individual tasks, or setting up a failure notification system. Data that was previously locked up in on-premises data silos can also be moved and processed using AWS Data Pipeline.

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Ques. 1): What is a pipeline, exactly?

Answer:

A pipeline is an AWS Data Pipeline resource that defines the chain of data sources, destinations, and preset or custom data processing activities that are necessary to run your business logic.

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Ques. 2): What can I accomplish using Amazon Web Services Data Pipeline?

Answer:

You can quickly and simply construct pipelines using AWS Data Pipeline, which eliminates the development and maintenance effort necessary to manage your daily data operations, allowing you to focus on creating insights from that data. Simply configure your data pipeline's data sources, timetable, and processing tasks. AWS Data Pipeline manages the execution and monitoring of your processing tasks on a fault-tolerant, highly reliable infrastructure. AWS Data Pipeline also has built-in activities for typical tasks like moving data between Amazon S3 and Amazon RDS and executing a query on Amazon S3 log data to make your development process even easier.

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Ques. 3): How do I install a Task Runner on my on-premise hosts?

Answer:

You can install the Task Runner package on your on-premise hosts using the following steps:

Download the AWS Task Runner package.

Create a configuration file that includes your AWS credentials.

Start the Task Runner agent via the following command:

java -jar TaskRunner-1.0.jar --config ~/credentials.json --workerGroup=[myWorkerGroup]

Set the activity to execute on [myWorkerGroup] when defining it so that it may be dispatched to the previously installed hosts.

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Ques. 4): What resources are used to carry out activities?

Answer:

AWS Data Pipeline actions are carried out on your own computing resources. AWS Data Pipeline–managed and self-managed computing resources are the two categories. AWS Data Pipeline–managed resources are Amazon EMR clusters or Amazon EC2 instances that are launched only when they're needed by the AWS Data Pipeline service. You can manage resources that run longer and can be any resource that can execute the AWS Data Pipeline Java-based Task Runner (on-premise hardware, a customer-managed Amazon EC2 instance, etc.).

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Ques. 5): Is it possible for me to run activities on on-premise or managed AWS resources?

Answer:

Yes. AWS Data Pipeline provides a Task Runner package that may be deployed on your on-premise hosts to enable performing operations utilising on-premise resources. This package polls the AWS Data Pipeline service for work to be done on a regular basis. AWS Data Pipeline will issue the proper command to the Task Runner when it's time to conduct a certain action on your on-premise resources, such as executing a DB stored procedure or a database dump. You may assign many Task Runners to poll for a specific job to guarantee that your pipeline operations are highly available. If one Task Runner is unavailable, the others will simply take up its duties.

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Ques. 6): Is it possible to manually restart unsuccessful activities?

Answer:

Yes. By changing the status of a group of completed or unsuccessful actions to SCHEDULED, you can restart them. This may be done using the UI's Rerun button or by changing their status via the command line or API. This will trigger a re-check of all activity dependencies, as well as the execution of further activity attempts. Following successive failures, the Activity will attempt the same number of retries as before.

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Ques. 7): What happens if an activity doesn't go as planned?

Answer:

If all of an activity's activity attempts fail, the activity fails. An activity retries three times by default before failing completely. The number of automated retries can be increased to ten, but the technology does not enable endless retries. After an activity's tries have been exhausted, it will trigger any preset onFailure alarms and will not attempt to run again until you explicitly issue a rerun command using the CLI, API, or console button.

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Ques. 8): What is a schedule, exactly?

Answer:

Schedules specify when your pipeline actions take place and how often the service expects your data to be provided. Every schedule must specify a start date and a frequency, such as every day at 3 p.m. beginning January 1, 2013. The AWS Data Pipeline service does not execute any actions after the end date specified in the schedule. When you link a timetable to an activity, the activity runs on that schedule. You notify the AWS Data Pipeline service that you want the data to be updated on that schedule when you connect a schedule with a data source. For example, if you define an Amazon S3 data source with an hourly schedule, the service expects that the data source contains new files every hour.

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Ques. 9): What is a data node, exactly?

Answer:

A data node is a visual representation of your company's information. A data node, for example, can point to a specific Amazon S3 route. AWS Data Pipeline has an expression language that makes it simple to refer to data that is created often. For example, you may specify s3:/example-bucket/my-logs/logdata-#scheduledStartTime('YYYY-MM-dd-HH').tgz as your Amazon S3 data format.

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Ques. 10): Does Data Pipeline supply any standard Activities?

Answer:

Yes, AWS Data Pipeline provides built-in support for the following activities:

CopyActivity: This activity can copy data between Amazon S3 and JDBC data sources, or run a SQL query and copy its output into Amazon S3.

HiveActivity: This activity allows you to execute Hive queries easily.

EMRActivity: This activity allows you to run arbitrary Amazon EMR jobs.

ShellCommandActivity: This activity allows you to run arbitrary Linux shell commands or programs.

 

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Ques. 11): Is it possible to employ numerous computing resources on the same pipeline?

Answer:

Yes, just construct numerous cluster objects in your definition file and use the runsOn attribute to associate the cluster to use for each activity. This enables pipelines to use a mix of AWS and on-premise resources, as well as a mix of instance types for their activities – for example, you might want to use a t1.micro to run a quick script cheaply, but later on the pipeline might have an Amazon EMR job that requires the power of a cluster of larger instances.

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Ques. 12): What is the best way to get started with AWS Data Pipeline?

Answer:

Simply navigate to the AWS Management Console and choose the AWS Data Pipeline option to get started with AWS Data Pipeline. You may then use a basic graphical editor to design a pipeline.

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Ques. 13): What is a precondition?

Answer:

A readiness check that may be coupled with a data source or action is known as a precondition. If a data source contains a precondition check, that check must pass before any operations that use the data source may begin. If an activity contains a precondition, the precondition check must pass before the activity may be executed. This is handy if you're performing a computationally intensive activity that shouldn't run unless certain requirements are satisfied.

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Ques. 14): Does AWS Data Pipeline supply any standard preconditions?

Answer:

Yes, AWS Data Pipeline provides built-in support for the following preconditions:

DynamoDBDataExists: This precondition checks for the existence of data inside a DynamoDB table.

DynamoDBTableExists: This precondition checks for the existence of a DynamoDB table.

S3KeyExists: This precondition checks for the existence of a specific AmazonS3 path.

S3PrefixExists: This precondition checks for at least one file existing within a specific path.

ShellCommandPrecondition: This precondition runs an arbitrary script on your resources and checks that the script succeeds.

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Ques. 15): Will AWS Data Pipeline handle my computing resources and provide and terminate them for me?

Answer:

Yes, compute resources will be supplied when the first activity that utilises those resources for a planned time is ready to begin, and those instances will be terminated when the last activity that uses those resources has concluded successfully or failed.

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Ques. 16): What distinguishes AWS Data Pipeline from Amazon Simple Workflow Service?

Answer:

While both services allow you to track your execution, handle retries and errors, and conduct arbitrary operations, AWS Data Pipeline is designed to help you with the stages that are prevalent in most data-driven processes. For example, actions may be executed only once their input data fulfils certain readiness requirements, data can be readily copied between multiple data stores, and chained transformations can be scheduled. Because of this narrow emphasis, Data Pipeline process definitions may be generated quickly and without coding or programming skills.

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Ques. 17): What is an activity, exactly?

Answer:

As part of a pipeline, AWS Data Pipeline will initiate an activity on your behalf. EMR or Hive tasks, copies, SQL queries, and command-line scripts are all examples of activities.

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Ques. 18): Is it possible to create numerous schedules for distinct tasks inside a pipeline?

Answer:

Yes, just construct numerous schedule objects in your pipeline definition file and use the schedule field to connect the selected schedule with the appropriate activity. This enables you to create a pipeline in which log files are stored in Amazon S3 every hour, for example, to drive the production of an aggregate report once per day.

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Ques. 19): Is there a list of sample pipelines I can use to get a feel for AWS Data Pipeline?

Answer:

Yes, our documentation includes sample workflows. In addition, the console includes various pipeline templates to help you get started.

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Ques. 20): Is there a limit to how much I can fit into a single pipeline?

Answer:

Each pipeline you construct can have up to 100 items by default.

 

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