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.
AWS(Amazon Web Services) Interview Questions and Answers
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.
AWS Cloud Interview Questions and Answers
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.
AWS AppSync Interview Questions and Answers
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.
AWS Cloud9 Interview Questions and Answers
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.).
Amazon Athena Interview Questions and Answers
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.
AWS RedShift Interview Questions and Answers
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.
AWS Cloud
Practitioner Essentials Questions and Answers
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.
AWS EC2 Interview Questions and Answers
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.
AWS Lambda
Interview Questions and Answers
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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Storage Service (S3) Interview Questions and Answers
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.
AWS Fargate Interview Questions and Answers
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.
AWS DynamoDB
Interview Questions and Answers
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.
AWS
Cloudwatch interview Questions and Answers
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.
AWS Elastic Block Store (EBS) Interview Questions and Answers
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.
AWS Amplify
Interview Questions and Answers
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.
AWS Secrets
Manager Interview Questions and Answers
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.
AWS Django
Interview Questions and Answers
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.
AWS Cloud Support Engineer Interview Question and Answers
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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