Showing posts with label asked. Show all posts
Showing posts with label asked. Show all posts

May 16, 2022

Top 20 AWS Lake Formation Interview Questions and Answers

 

        AWS Lake Formation is a service that allows you to quickly create a secure data lake. A data lake is a centralised, controlled, and secure repository where you may keep all of your data, both raw and processed for analysis. A data lake allows you to mix multiple forms of analytics and break down data silos to acquire insights and make better business decisions.

Defining data sources and the access and security policies you want to apply is all it takes to create a data lake using Lake Formation. Lake Formation then assists you in gathering and cataloguing data from databases and object storage, moving it to your new Amazon Simple Storage Service (S3) data lake, cleaning and classifying your data with machine learning algorithms, and securing access to your sensitive data with granular controls at the column, row, and cell levels. Your users will have access to a centralised data catalogue that lists accessible datasets and how they should be used. They then leverage these datasets with Amazon Redshift, Amazon Athena, Amazon EMR for Apache Spark, and Amazon QuickSight, among other analytics and machine learning services. Lake Formation builds on the capabilities available in AWS Glue.

 

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Ques. 1): Is there an API or a CLI available from Lake Formation?

Answer:

Yes. To incorporate Lake Formation capabilities into your bespoke apps, Lake Formation provides APIs and a CLI. You can also use Java and C++ SDKs to combine your own data engines with Lake Formation.

 

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Ques. 2): What is a data lake, exactly?

Answer:

A data lake is a scalable central store for both organised and unstructured data in huge numbers and types. Data lakes allow you to manage your data over its entire lifecycle. Ingestion and classifying data from various sources is the first stage in creating a data lake. Before analysis, the data is enriched, merged, and cleansed. Direct searches, visualisation, and machine learning make it simple to explore and evaluate data (ML). Traditional data warehouses are supplemented by data lakes, which offer greater flexibility, cost-effectiveness, and scalability for data acquisition, storage, transformation, and analysis. The typical issues of building and maintaining data warehouses, as well as constraints in the sorts of analysis that may be performed, can be overcome utilising data lakes.

 

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Ques. 3): What is the AWS Lake Formation Storage API, and why should I use it?

Answer:

The Lake Formation Storage API gives AWS services, ISV solutions, and application developers a single interface to read and write data in the data lake securely and reliably. To write data, the Storage API supports ACID (atomic, consistent, isolated, and durable) transactions, which allow you to reliably and consistently write data into Governed Tables, a new form of Amazon S3 table. You can query data in Governed Tables and ordinary S3 tables guarded with Lake Formation fine-grained permissions using the Storage API. Before sending the filtered results to the requesting application, the Storage API will automatically enforce permissions. Permissions for access are applied uniformly across a variety of services and tools.

 

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Ques. 4): What exactly is the AWS Lake Formation?

Answer:

Lake Formation is a data lake service that makes it simple to collect, clean, categorise, convert, and secure your data before making it available for analysis and machine learning. Lake Formation provides a central console from which you can discover data sources, set up transformation jobs to move data to an Amazon Simple Storage Service (S3) data lake, remove duplicates and match records, catalogue data for analytic tools, configure data access and security policies, and audit and control access to AWS analytic and machine learning services.

Lake Formation uses Zeppelin notebooks with Apache Spark to automatically control access to the registered data in Amazon S3 using AWS Glue, Amazon Athena, Amazon Redshift, Amazon QuickSight, and Amazon EMR to ensure compliance with your established regulations. Lake Formation configures the flows, centralises their orchestration, and allows you to monitor transformation operations that span AWS services. You may configure and maintain your data lake using Lake Formation instead of manually integrating numerous underlying AWS services.

 

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Ques. 5): Can I utilise Lake Formation with third-party business intelligence tools?

Answer:

Yes. You can connect to your AWS data sources using services like Athena or Redshift using third-party business applications like Tableau and Looker. The underlying data catalogue manages data access, so you can rest certain that access to your data is authorised and controlled regardless of whatever application you use.

 

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Ques. 6): How does Lake Formation de-duplicate my data?

Answer:

The FindMatches ML Transform from Lake Formation makes it simple to locate and link records that refer to the same thing but lack a valid identifier. Before FindMatches, data-matching problems were usually solved deterministically by constructing a large number of hand-tuned rules. Behind the scenes, FindMatches uses machine learning algorithms to learn how to match records according to each developer's business requirements. FindMatches selects records for you to categorise as matching or not matching, and then utilises machine learning to generate an ML Transform. You can then use this Transform to find matching records in your database, or you can ask FindMatches to provide you with more records to label in order to improve the accuracy of your ML Transform.

 

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Ques. 7): How does Lake Formation keep my information safe?

Answer:

Lake Formation safeguards your data by allowing you to define granular data access policies that protect your data regardless of which services are utilised to access it.

To use Lake Formation to consolidate data access policy restrictions, disable direct access to your Amazon S3 buckets so that Lake Formation handles all data access. Then, using Lake Formation, set up data protection and access controls that are enforced across all AWS services that access data in your lake. Users and roles can be configured, as well as the data that these roles have access to, down to the table and column level.

S3 server-side encryption is now supported by Lake Formation (SSE-S3, AES-265). Lake Formation additionally supports private endpoints in your Amazon VPC and logs all activity in AWS CloudTrail, ensuring network isolation and auditability.

 

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Ques. 8): What are Machine Learning Transforms?

Answer:

ML Transforms is a place where you can create and manage machine-learned transforms. These ML Transforms can be used in ordinary AWS Glue scripts once they've been constructed and trained. You choose an algorithm (for example, the FindMatches ML Transform), then input datasets and training samples, as well as tweaking parameters. These inputs are used by AWS Lake Formation to create an ML Transform that can be integrated into a standard ETL job workflow.

 

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Ques. 9): How can I turn an existing Amazon S3 table into a regulated table?

Answer:

You can convert existing Amazon S3–based tables in the AWS Glue Data Catalog to controlled tables by running the AWS Glue blueprint available on the AWS Labs Github page. Using the AWS SDK and CLI, you can also create a new governed table and edit the manifest information in Lake Formation. A list of S3 objects and related metadata indicate the current status of your table in the manifest information. You can also use AWS Glue ETL to read data from an existing table and construct a Governed Table duplicate of it. This allows you to migrate your applications and users to the Governed Table at your own pace.

 

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Ques. 10): How does Lake Formation relate to other AWS services?

Answer:

Lake Formation manages data access for registered data that is stored in Amazon S3 and manages query access from AWS Glue, Athena, Redshift, Amazon QuickSight, and EMR using Zeppelin notebooks with Apache Spark through a unified security model and permissions. Lake Formation can ingest data from S3, Amazon RDS databases, and AWS CloudTrail logs, understand their formats, and make data clean and able to be queried. Lake Formation configures the flows, centralizes their orchestration, and lets you monitor the jobs.

 

AWS Simple Storage Service (S3) Interview Questions and Answers

 

Ques. 11): What other options do I have for getting data into AWS to utilise with Lake Formation?

Answer:

With AWS Snowball, AWS Snowball Edge, and AWS Snowmobile, you can transport petabytes to exabytes of data from your data centres to AWS utilising physical equipment. AWS Storage Gateway allows you to link your on-premises apps directly to AWS. You can use AWS Direct Connect to create a dedicated network link between your network and AWS, or Amazon S3 Transfer Acceleration to boost long-distance global data transfers using Amazon's internationally spread edge locations. Amazon Kinesis can also be used to import streaming data into S3. Lake Formation Data Importers can be configured to run ETL processes in the background and prepare data for analysis.

 

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Ques. 12): What is the relationship between Lake Formation and AWS Glue?

Answer:

With AWS Glue, Lake Formation shares infrastructure such as console controls, ETL code development and job monitoring, blueprints for creating data import workflows, the same data catalogue, and a serverless architecture. Although AWS Glue focuses on these operations, Lake Formation includes all of AWS Glue's functionality as well as extra capabilities for building, securing, and managing a data lake. For additional information, see the AWS Glue features page.

 

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Ques. 13): How does Lake Formation sanitise my data using machine learning?

Answer:

Lake Formation offers jobs that use machine learning methods to deduplicate and connect records. Select your source, choose a desired transform, and provide training data for the necessary changes to create ML Transforms. The ML Transforms can be run as part of your regular data movement procedures once they've been trained to your satisfaction.

 

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Ques. 14): What is the relationship between Lake Formation and AWS IAM?

Answer:

Lake Formation works with IAM to automatically map authorised users and roles to data protection policies maintained in the data catalogue. You may also utilise Microsoft Active Directory or LDAP to federate into IAM utilising SAML thanks to the IAM integration.

 

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Ques. 15): How does Lake Formation assist me in locating data for my data lake?

Answer:

Lake Formation detects all AWS data sources to which it has access thanks to your AWS IAM policies. It scans Amazon S3, Amazon RDS, and AWS CloudTrail sources, identifying them as data that can be consumed into your data lake using blueprints. Without your permission, no data is ever moved or made accessible to analytic services. AWS Glue may also consume data from other AWS services, such as S3 and Amazon DynamoDB.

Lake Formation may also use JDBC connections to connect to your AWS databases as well as on-premises databases including Oracle, MySQL, Postgres, SQL Server, and MariaDB.

Lake Formation guarantees that all of your data is documented in a central data catalogue, allowing you to browse and query data that you have authorization to see and query from a single location. Permissions can be specified at the table and column level and are described in your data access policy.

You can add labels (including business attributes like data sensitivity) at the table or column level, as well as field-level comments, in addition to the properties automatically provided by the crawlers.

 

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Ques. 16): What types of issues does the FindMatches ML Transform address?

Answer:

FindMatches solves record linkage and data deduplication issues in general. When you're trying to find records in a database that are theoretically the same yet have separate records, deduplication is required. If duplicate entries can be identified by a unique key (for example, if products can be uniquely identified by a UPC Code), this problem is straightforward, but it gets exceedingly difficult when you have to execute a "fuzzy match."

Record linkage is essentially the same as data deduplication, however instead of deduplicating a single database, this phrase usually refers to a "fuzzy join" of two databases that don't share a unique key. Consider the difficulty of matching a large consumer database with a limited database of known fraudsters. Both record linkage and deduplication difficulties can be solved with FindMatches.

 

AWS Amplify Interview Questions and Answers 

 

Ques. 17): How does Lake Formation organize my data in a data lake?

Answer:

You can use one of the blueprints available in Lake Formation to ingest data into your data lake. Lake Formation creates Glue workflows that crawl source tables, extract the data, and load it to Amazon S3. In S3, Lake Formation organizes the data for you, setting up partitions and data formats for optimized performance and cost. For data already in S3, you can register those buckets with Lake Formation to manage them.

Lake Formation also crawls your data lake to maintain a data catalog and provides an intuitive user interface for you to search entities (by type, classification, attribute, or free-form text).

 

AWS Secrets Manager Interview Questions and Answers

 

Ques. 18): How does Lake Formation assist a data scientist or analyst in determining what data they have access to?

Answer:

Lake Formation guarantees that all of your data is defined in the data catalogue, providing you with a central area to browse and query the data that you have access to. Permissions can be specified at the table and column level and are described in your data access policy.

 

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Ques. 19): Why should I build my data lake with Lake Formation?

Answer:

Building, securing, and managing your AWS data lake is simple with Lake Formation. Lake Formation automatically configures underlying AWS security, storage, analysis, and machine learning services to meet with your centrally set access policies. You can also monitor your jobs, data transformation, and analytic workflows from a single console.

AWS Glue allows Lake Formation to handle data intake. Data is automatically categorised, and the central data catalogue stores pertinent data definitions, schema, and metadata. AWS Glue also cleans your data, removing duplicates and linking entries across datasets before converting it to one of several open data formats for storage in Amazon S3. You can create access restrictions, including table-and-column-level access controls, and enforce encryption for data at rest once your data is in your S3 data lake. You may then access your data lake using a range of AWS analytic and machine learning services. All access is controlled, monitored, and audited.

 

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Ques. 20): Can I utilise Lake Formation with my existing data catalogue or Hive Metastore?

Answer:

You can import your existing catalogue and metastore into the data catalogue using Lake Formation. To provide governed access to your data, Lake Formation requires your metadata to be stored in the data catalogue.

 

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May 13, 2022

Top 20 AWS Control Tower Interview Questions and Answers

 

                Cloud setup and governance can be complicated and time consuming if you have several AWS accounts and teams, slowing down the very innovation you're hoping to accelerate. AWS Control Tower is the simplest way to create and manage a landing zone, which is a secure, multi-account AWS environment. It constructs your landing zone using AWS Organizations, providing continuous account management and governance as well as best practices for cloud implementation based on AWS's expertise working with hundreds of clients. Builders can create new AWS accounts with a few clicks, and you can rest easy knowing that your accounts are compliant with business regulations. Extend governance to new or existing accounts and easily see how they're doing in terms of compliance.


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If you're setting up a new AWS environment, starting your AWS journey, or launching a new cloud venture, AWS Control Tower's built-in governance and best practices will help you get up and running quickly.


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Ques. 1): AWS Control Tower should be used by whom?

Answer:

Use AWS Control Tower to setup or administer your multi-account AWS environment using best practices. It provides prescriptive recommendations for scaling your AWS infrastructure. It allows you to have more control over your surroundings without sacrificing the speed and agility that AWS offers to builders. If you're setting up a new AWS environment, starting your AWS journey, launching a new cloud endeavor, or if you already have a multi-account AWS environment but want a solution with built-in blueprints and guardrails, you'll benefit.


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Ques. 2): What are the features of AWS Control Tower?

Answer:

With best-practices blueprints that setup AWS Organizations for a multi-account structure, AWS Control Tower automates the creation of a landing zone.

  • AWS SSO Directory can be used to manage identities.
  • AWS Single Sign-On can be used to offer federated access (AWS SSO).
  • Using AWS CloudTrail and AWS Config, construct a central log archive.
  • AWS SSO enables security audits across accounts.
  • Using Amazon Virtual Private Cloud, create network configurations (Amazon VPC)
  • Using AWS Service Catalog and associated Control Tower solutions, define the workflows for provisioning accounts.
  • AWS Control Tower provides "guardrails" for continuing AWS environment governance.
  • Guardrails provide governance controls by prohibiting non-conforming resources from being deployed or identifying non-conforming provisioned resources.
  • To establish a baseline, AWS Control Tower uses numerous building pieces such as AWS CloudFormation to automatically implement guardrails.
  • AWS Organizations uses service control policies (SCPs) to prevent configuration changes and AWS Config rules to identify non-conformance on a continuous basis.

AWS Control Tower provides a dashboard for monitoring your multi-account setup in real time. You have access to supplied accounts across your whole enterprise. Dashboards provide you reports on the detective and preventative guardrails you've set up on your accounts, as well as the status of resources that don't follow the policies you've set up using guardrails.


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Ques. 3): What exactly is the AWS Control Tower?

Answer:

AWS Control Tower is the simplest method to set up and manage a secure AWS environment with multiple accounts. It creates a landing zone based on best-practice blueprints and allows for governance through the use of guardrails from a pre-packaged list. The landing zone is a multi-account, well-architected baseline that adheres to AWS best practises. Guardrails are standards that control security, compliance, and operations.


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Ques. 4): Can I meet my data residency requirements with AWS Control Tower?

Answer:

To assist with data residency, AWS Control Tower provides a set of preventive and investigative guardrails. Data residency allows you to choose where your customer content is hosted. It lets you pick whether it's hosted across various areas or in a single location.

Data residency may be required for working in a cloud environment if you work in a regulated field like finance, government, or healthcare. It can also assist you meet your company's data management needs in general.


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Ques. 5): What is the right way to grant access to config logs? what is the solution for config logs since there is no point on having logs if nobody can access them?

Answer:

To provide access to your third-party application, you'll need to amend the bucket policy. As you mentioned, AWS Control Tower Guardrail prevents updates to bucket policies, so you'll need to log into the Organization Management account first, then switch to the AWSControlTowerExecution role in the Logging account using the Switch Role capability from the drop down menu under your login in the upper right. You will be able to edit the bucket policy in the Logging account using that role.


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Ques. 6): What are the benefits of AWS Control Tower?

Answer:

Benefits

  • Set up and setup your AWS environment quickly: With just a few clicks, automate the setup of your multi-account AWS environment. You can use blueprints to configure AWS security and management services to regulate your environment, which are AWS best practices. Identity management and federated access blueprints, as well as centralised logging, cross-account security audits, network architecture, and account provisioning routines, are all available. 
  • Maintain policy enforcement: Control Tower provides both mandatory and optional high-level rules to either enforce or detect policy infractions utilizing service controls or Config Rules. As you create new accounts or make changes to existing accounts, these rules will always be in force, and Control Tower will offer a summary assessment of how each account complies with your policies. 
  • Visualize your Amazon Web Services ecosystem: Control Tower includes an integrated dashboard that gives you a high-level overview of your AWS setup and centralizes all of your account information. You can also see how many accounts have been provisioned, how many policies have been enabled across your accounts, and how compliant those accounts are.


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Ques. 7): What is the relationship between AWS Control Tower and AWS Organizations?

Answer:

On top of AWS Organizations, AWS Control Tower provides an abstracted, automated, and prescriptive interface. It uses AWS Organizations as the underlying AWS service to group accounts and use service management policies to establish preventive guardrails (SCPs). You may also construct and attach custom SCPs to AWS Organizations to centrally govern the use of AWS services and resources across many AWS accounts.

You can also use AWS Control Tower to create a landing zone with new or existing organisational units (OUs) and accounts using your current AWS Organizations management account. AWS Control Tower creates new OUs and accounts that are added to your existing Organization's structure and billing. Existing accounts handled in Organizations can be individually or via script enrolled in new OUs created with AWS Control Tower.


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Ques. 8): What is the relationship between AWS Control Tower and AWS Service Catalog?

Answer:

AWS Control Tower automatically configures AWS Service Catalog as the underlying AWS service to allow for account factory provisioning. While AWS Control Tower provides account-level administration, AWS Service Catalog can enable granular governance at the resource level. AWS Service Catalog also allows you to provision infrastructure and application stacks for use within your accounts that have been pre-approved by IT.


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Ques. 9): The Control Tower attempted to launch in eu-west-1 but was unsuccessful. Because the customer has disabled STS for all regions except eu-west-1 and global (in IAM) (us-east-1). Additionally, the us-east-2 and us-west-2 areas must be activated. When the customer is not using these areas, why does he need to enable us-east-2 and us-west-2 for Control Tower? Is there any connection between Control Tower and these areas?

Answer:

Guard rails are being installed in these four zones by the control tower. When you look at the Cloudformation StackSets in the CT payer account, such as AWSControlTowerBP-BASELINE-CONFIG, you may see this. Every managed account in these four locations has a stack instance in this StackSet.

If STS is disabled in these regions then CloudFormation cannot assume the right role to deploy the template and therefore your account deployment / baselining will fail.


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Ques. 10): Can I use AWS Control Tower to manage my infrastructure?

Answer:

AWS Control Tower assists you in setting up a multi-account AWS environment using best practises, but you are still in charge of day-to-day operations and ensuring compliance. Consider a qualified MSP partner or AWS Managed Services if you need support managing regulated infrastructure in the cloud (AMS). AMS is best suited for businesses that need to quickly migrate regulated workloads to the cloud but lack the necessary AWS skillsets for compliant operations, or for businesses that want to keep AWS talent focused on application migration and modernization rather than the undifferentiated heavy lifting of infrastructure operations.


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Ques. 11): What AWS Control Tower tools can assist me in personalising my accounts?

Answer:

Changes for AWS Control Tower and Account Factory for Terraform are two new AWS Control Tower solutions that allow you to simply apply customizations to your AWS Control Tower accounts using an AWS CloudFormation template and SCPs or Terraform. Accounts come with all of the normal AWS Control Tower governance features, but you can customise them to match any additional standard procedures or criteria you need.


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Ques. 12): Can I use AWS Control Tower with my existing directory?

Answer:

AWS Control Tower creates a native default directory for AWS SSO. After you've set up the landing zone, you may connect AWS SSO to a supported directory like AWS Managed Microsoft AD.


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Ques. 13): What is the price of an AWS Control Tower?

Answer:

The use of AWS Control Tower is free of charge. You only pay for AWS Control Tower-enabled AWS services like AWS Service Catalog and AWS CloudTrail. You must also pay for AWS Config rules, which are guardrails set up by AWS Control Tower.


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Ques. 14): What distinguishes AWS Control Tower from AWS Security Hub?

Answer:

AWS Control Tower and AWS Security Hub are two services that work together. Security teams, compliance professionals, and DevOps engineers utilise AWS Security Hub to monitor and enhance the security posture of their AWS accounts and resources on a continual basis. AWS Security Hub performs security best practise checks against the AWS Foundational Security Best Practices standard as well as other industry and regulatory standards, in addition to aggregating security findings and enabling automated remediation. Cloud administrators and architects use AWS Control Tower to set up and manage a secure, multi-account AWS environment based on AWS best practices.

AWS Control Tower uses guardrails, which are essential and strongly recommended high-level rules that assist enforce your policies using SCPs and identify policy violations using AWS Config rules. AWS Control Tower also ensures that your default account configurations comply with the AWS Foundational Security Best Practices published by AWS Security Hub. The preventive guardrails in AWS Control Tower should be used in conjunction with the security best practise controls in AWS Security Hub, since they are mutually reinforcing and assist ensure that your accounts and resources are secure.


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Ques. 15): What is the Control Tower Python 3.6 lambdas upgrade path? Is there any way to remedy these difficulties before CT breaks in a few months, according to AWS?

Answer:

Because the AWS Control Tower service has a notification Lambda Function that uses Python version 3.6, which is scheduled for deprecation in July 2022, you are receiving this communication. Prior to its deprecation in July, a new version of the Control Tower notification Lambda will be released. We'll keep you updated on the updates and any actions we need you to take via the Control Tower management interface on a regular basis. We are aware that certain Control Tower clients have received multiple emails addressing the Python 3.6 Lambda function deprecation, and we regret for any confusion this has created. We're working with the Lambda team to keep future notifications to a minimum.


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Ques. 16): Is AWS Control Tower accessible via an API?

Answer:

No. All necessary procedures can be performed using AWS Control Tower via the AWS Management Console.


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Ques. 17): What is the relationship between AWS Control Tower and AWS Systems Manager?

Answer:

AWS Control Tower can be used to set up and manage your AWS environment, and AWS Systems Manager can be used to manage its day-to-day operations. AWS Systems Manager gives you a consistent user interface for viewing operational data from numerous AWS services and automating operational operations across all of your AWS resources. You can organise resources (such Amazon EC2 instances, Amazon S3 buckets, or Amazon RDS instances) by application, examine operational data for monitoring and troubleshooting, and take action on your groups of resources using Systems Manager.


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Ques. 18): What distinguishes AWS Control Tower from the AWS Landing Zone solution?

Answer:

AWS Control Tower is an AWS native service that provides a pre-defined set of blueprints and guardrails to assist you in creating an AWS account landing zone. AWS Landing Zone is an AWS offering that enables a fully customised, customer-managed landing zone installation through AWS Solution Architect, Professional Services, or AWS Partner Network (APN) Partners. To build a foundational AWS environment based on best-practices blueprints executed through AWS Service Catalog, you can use either AWS Control Tower or the Landing Zone solution. AWS Control Tower is a self-service setup tool with an interactive user interface for continuing governance and guardrails.

While AWS Control Tower automates the creation of a new landing zone using predefined blueprints (e.g., AWS SSO for directory and access), the AWS Landing Zone solution offers a configurable setup of a landing zone with rich customization options via custom add-ons (such as Active Directory- or Okta Directory) and ongoing modifications via a code deployment and configuration pipeline.


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Ques. 19): Is it possible to use AWS Control Tower to comply with industry compliance standards (such as HIPAA, PCI, SOC-1, and SOC-2)?

Answer:

AWS Control Tower's typical guardrails are not designed to meet regulatory compliance criteria (such as HIPAA, PCI, SOC-1, or SOC-2). Control Tower guardrails are a set of AWS best-practices regulations for regulating your AWS environment, such as requiring account activity to be logged using AWS CloudTrail and disallowing configuration modifications to log archiving. Control Tower will continue to introduce more features over time, such as custom guardrails, to assist you in implementing policies that support regulatory compliance using the AWS shared security architecture.


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