Showing posts with label framework. Show all posts
Showing posts with label framework. Show all posts

April 28, 2022

Top 20 Apache Drill Interview Questions and Answers


        Apache Drill is an open source software framework that enables the interactive study of huge datasets using data demanding distributed applications. Drill is the open source version of Google's Dremel technology, which is provided as a Google Big Query infrastructure service. HBase, MongoDB, MapR-DB, HDFS, MopEDS, AmazonS3, Google cloud storage, Swift, NAS, and local files are among the NoSQL databases and filesystems it supports. Data from various datastores can be combined in a single query. You may combine a user profile collection in MongoDB with a directory of Hadoop event logs, for example.

Apache Kafka Interview Questions and Answers

Ques. 1): What is Apache Drill, and how does it work?


Apache Drill is an open-source SQL engine with no schema that is used to process massive data sets and semi-structured data created by new age Big data applications. Drill's plug-and-play interface with Hive and Hbase installations is a great feature. Google's Dremel file system inspired the Apache Drill. We may have a faster understanding of data analysis without having to worry about schema construction, loading, or any other type of maintenance that used to be required in the RDBMS system. We can easily examine multi-structured data with Drill.

Apache Drill is a schema-free SQL Query Engine for Hadoop, NoSQL, and Cloud Storage that allows us to explore, visualise, and query various datasets without needing to use ETL or other methods to fix them to a schema.

Apache Drill can also directly analyse multi-structured and nested data in non-relational data stores, without any data restrictions.

The schema-free JSON model is included in Apache Drill, the first distributed SQL query engine and its looks like -

  • Elastic Search
  • MongoDB
  • NoSQL database

The Apache Drill is very useful for those professionals that already working with SQL databases and BI tools like Pentaho, Tableau, and Qlikview.

Also Apache Drill supports to -

  • RESTful,
  • ANSI SQL and
  • JDBC/ODBC drivers

Apache Camel Interview Questions and Answers

Ques. 2): Is Drill a Good Replacement for Hive?


Hive is a batch processing framework that is best suited for processes that take a long time to complete. Drill outperforms Hive when it comes to data exploration and business intelligence.

Drill is also not exclusive to Hadoop. It can, for example, query NoSQL databases (such as MongoDB and HBase) and cloud storage (eg, Amazon S3, Google Cloud Storage, Azure Blob Storage, Swift).

Both Instruments Hive and Drill are used to query enormous datasets; Hive is best for batch processing for long-running processes, whereas Drill offers more advancement and a better user experience. Drill's limitation isn't limited to Hadoop; it may also access and process data from other sources.

Apache Struts 2 Interview Questions and Answers

Ques. 3): What are the differences between Apache Drill and Druid?


The primary distinction is that Druid pre-aggregates metrics to give low latency queries and minimal storage use.

You can't save information about individual events while using Druid to analyse event data.

Drill is a generic abstraction for a variety of NoSql data stores. Because the values in these data stores are not pre-aggregated and are saved individually, they can be used for purposes other than storing aggregated metrics.

Drill does not provide the low latency queries required to create dynamic reporting dashboards.

Apache Spark Interview Questions and Answers

Ques. 4): What does Tajo have in common with Apache Drill?


Tajo resembles Drill in appearance. They do, however, have a lot of differences. Their origins and eventual purposes are the most significant contrasts. Drill is based on Google's Dremel, whereas Tajo is based on the combination of MR and parallel RDBMS. Tajo's goal is a relational and distributed data warehousing system, whereas Drill's goal is a distributed system for interactive analysis of large-scale datasets.

As far as I'm aware, the first Drill contains the following characteristics:

  • Drill is a Google Dremel clone project.
  • Its primary goal is to do aggregate queries using a full table scan.
  • Its main goal is to handle queries quickly.
  • It employs a hierarchical data model.

Tajo, on the other hand, has the following features:

  • Tajo combines the benefits of MapReduce and Parallel databases.
  • It primarily targets complex data warehouse queries and has its own distributed query evaluation approach.
  • Its major goal is scalable processing by exploiting the advantages of MapReduce and Parallel databases.
  • We expect that sophisticated query optimization techniques, intermediate data streaming, and online aggregation will significantly reduce query response time.
  • It utilizes a relational data model. We feel that the relational data model is sufficient for modelling the vast majority of real-world applications.
  • Tajo is expected to be linked with existing BI and OLAP software.

Apache Hive Interview Questions and Answers

Ques. 5): What are the benefits of using Apache Drill?


Some of the most compelling reasons to use Apache Drill are listed below.

  • Simply untar the Apache Drill and use it in local mode to get started. It does not necessitate the installation of infrastructure or the design of a schema.
  • Running SQL queries does not necessitate the use of a schema.
  • We can query semi-structured and complex data in real time with Drill.
  • The SQL:2003 syntax standard is supported by Apache Drill.
  • Drill can be readily linked with BI products like QlikView, Tableau, and MicroStrategy to give analytical capabilities.
  • We can use Drill to conduct an interactive query that will access the Hive and HBase tables.
  • Drill supports multiple data stores such as local file systems, distributed file systems, Hadoop HDFS, Amazon S3, Hive tables, HBase tables, and so on.
  • Apache Drill can be easily scalable from a single system up to 1000 nodes.

Apache Tomcat Interview Questions and Answers 

Ques. 6): What Are the Great Features of Apache Drill?


The following features are -

  • Schema-free JSON document model similar to MongoDB and Elastic search
  • Code reusability
  • Easy to use and developer friendly
  • High performance Java based API
  • Memory management system
  • Industry-standard API like ANSI SQL, ODBC/JDBC, RESTful APIs
  • How does Drill achieve performance?
  • Distributed query optimization and execution
  • Columnar Execution
  • Optimistic Execution
  • Pipelined Execution
  • Runtime compilation and code generation
  • Vectorization

Apache Ambari interview Questions and Answers

Ques. 7): What are some of the things we can do with the Apache Web interface?


The tasks that we can conduct through the Apache Drill Web interface are listed below.

  • The SQL Queries can be conducted from the Query tab.
  • We have the ability to stop and restart running queries.
  • We can view the executed queries by looking at the query profile.
  • In the storage tab, you can view the storage plugins.
  • In the log tab, we can see logs and stats.

Apache Tapestry Interview Questions and Answers

Ques. 8): What is Apache Drill's performance like? Does the number of lines in a query result affect its performance?


We utilise drill for its rest server and connect D3 visualisation for querying IOT data, and the querying command(select and join) suffers from a lot of slowness, however this was fixed when we switched to spark SQL.

Drill is useful in that it can query most data sources, but it may need to be tested before being used in production. (If you want something faster, I believe you can find a better query engine.) But for development and testing, it's been quite useful.

Apache Ant Interview Questions and Answers

Ques. 9): What Data Storage Plugins does Apache Drill support?


The following is a list of Data Storage Plugins that Apache Drill supports.

  • File System Data Source Storage Plugin
  • HBase Data Source Storage Plugin
  • Hive Data Source Storage Plugin
  • MongoDB Data Source Storage Plugin
  • RDBMS Data Source Storage Plugin
  • Amazon S3 Data Source Storage Plugin
  • Kafka Data Source Storage Plugin
  • Azure Blob Data Source Storage Plugin
  • HTTP Data Source Storage Plugin
  • Elastic Search Data Source Storage Plugin

Apache Cassandra Interview Questions and Answers

Ques. 10): What's the difference between Apache Solr and Apache Drill, and how do you use them?


The distinction between Apache Solr and Apache Drill is comparable to that between a spoon and a knife. In other words, despite the fact that they deal with comparable issues, they are fundamentally different instruments.

To put it plainly... Apache Solr is a search platform, while Apache Drill is a platform for interactive data analysis (not restricted to just Hadoop). Before performing searches with Solr, you must parse and index the data into the system. For Drill, the data is stored in its raw form (i.e., unprocessed) on a distributed system (e.g., Hadoop), and the Drill application instances (i.e., drillbits) will process it in parallel.

Apache NiFi Interview Questions and Answers

Ques. 11): What is the recommended performance tuning approach for Apache Drill?


To tune Apache Drill's performance, a user must first understand the data, query plan, and data source. Once these locations have been discovered, the user can utilise the performance tuning technique below to increase the query's performance.

  • Change the query planning options if necessary.
  • Change the broadcast join options as needed.
  • Switch the aggregate between one and two phases.
  • The hash-based memory-constrained operators can be enabled or disabled.
  • We can activate query queuing based on your needs.
  • Take command of the parallelization.
  • Use partitions to organise your data.

Apache Storm Interview Questions and Answers

Ques. 12): What should you do if an Apache Drill query takes a long time to deliver a result?


Check the following points if a query from Apache Drill is taking too long to deliver a result.

  • Check the query's profile to determine if it's moving or not. The query progress is determined by the time of the latest update and change.
  • Streamline the process where Apache Drill is taking too long.
  • Look for partition pruning and projection pushdown operations.


Ques. 13): I'm using Apache Drill with one drillbit to query approximately 20 GB of data, and each query takes several minutes to complete. Is this normal?


The performance of a single bit drill is determined by the Java memory setup and resources available on the computer where your query is being performed. Because the query engine must identify meaningful matches, the where clause requires more work from the query engine, which is why it is slower.

You can also alter JVM parameters in the drill configuration. You can devote more resources to your searches, which should result in speedier results.


Ques. 14): How does Apache Drill compare to Apache Phoenix with Hbase in terms of performance?


Because Drill is a distributed query engine, this is a fascinating question. In contrast, Phoenix implements RDBMS semantics in order to compete with other RDBMS. That isn't to suggest that Drill won't support inserts and other features... But, because they don't do the same thing right now, comparing their performance isn't really apples-to-apples.

Drill can query HBase and even push query parameters down into the database. Additionally, there is presently a branch of Drill that can query data stored in Phoenix.

Drill can simultaneously query numerous data sources. Logically if you choose to use Phoenix, you could use both to satisfy your business needs.


Ques. 15): Is Apache Drill 1.5 ready for usage in production?


Drill is one of the most mature SQL-on-Hadoop solutions in general. As with all of the SQL-on-Hadoop solutions, it may or may not be the best fit for your use case. I mention that solely because I've heard of some extremely far-fetched use cases for Drill that aren't a good fit.

Drill will serve you well in your production environment if you wish to run SQL queries without "requiring" ETL first.

Any tool that supports the ODBC and JDBC connections can easily access it as well.


Ques. 16): Why doesn't Apache Drill get the same amount of attention as other SQL-on-Hadoop tools?


To keep track of SQL on Hadoop tools and to advise enterprise customers on which ones would be ideal for them. A lot of SQL on Hadoop solutions have a large number of users. Presto has been used by a number of major Internet firms (Netflix, AirBnB), as well as a number of large corporations. It is largely sponsored by Facebook and Teradata (my job). The Cloudera distribution makes Impala widely available. Phoenix and Kylin also make a lot of appearances and have a lot of popularity. Until it doesn't function or a flaw is discovered, Spark SQL is the go-to for new projects these days. Hive is the hard to beat incumbent. Adoption is crucial.


Ques. 17): Is it possible to utilise Apache Drill + MongoDB in the same way that RDBMS is used?


To begin, you must comprehend the significance of NoSQL. To be honest, deciding between NoSQL and RDBMS based on a million or ten million users is not a great number.

However, as you stated, the size of your dataset will only grow. You can begin using MongoDB, keeping in mind the scalability element.

Apache Drill is now available.

Dremel by Google was the inspiration for Apache drill. When you select columns to retrieve, it performs well. Multiple data sources can be joined together (e.g. join over hive and MongoDB, join over RDBMS and MongoDB, etc.)

Also, pure MongoDB or MongoDB + Apache Drill are both viable options.


Stick to native MongoDB if your application architecture is entirely based on MongoDB. You have access to all of MongoDB's features. MongoDB java driver, python driver, REST API, and other options are available. Yes, learning MongoDB-specific concepts will take more time. However, RDBMS queries provide you a lot of flexibility, and you can do a lot of things over here.

MongoDB + Apache Drill

You can choose this option if you can accomplish your goal with JPA or SQL queries and you are more familiar with RDBMS queries.

Additional benefit: You can use dig to query across additional data sources such as hive/HDFS or RDBMS in addition to MongoDB in the future.


Ques. 18): What is an example of a real-time use of Apache Drill? What makes Drill superior to Hive?


Hive is a batch processing framework that is best suited for processes that take a long time to complete. Drill outperforms Hive when it comes to data exploration and business intelligence.

Drill is also not exclusive to Hadoop. It can, for example, query NoSQL databases (such as MongoDB and HBase) and cloud storage (eg, Amazon S3, Google Cloud Storage, Azure Blob Storage, Swift).


Ques. 19): Is Cloudera Impala similar to the Apache Drill incubator project?


It's difficult to make a fair comparison because both initiatives are still in the early stages. We still have a lot of work to do because the Apache Drill project was only started a few months ago. That said, I believe it is critical to discuss some of the Apache Drill project's techniques and goals, which are critical to comprehend when comparing the two:

  • Apache Drill is a community-driven product run under the Apache foundation, with all the benefits and guarantees it entails.
  • Apache Drill committers are scattered across many different companies.

Apache Drill is a NoHadoop (not just Hadoop) project with the goal of providing distributed query capabilities across a variety of large data systems, including MongoDB, Cassandra, Riak, and Splunk.

  • By supporting all major Hadoop distributions, including Apache, Hortonworks, Cloudera, and MapR, Apache Drill avoids vendor lock-in.
  • Apache Drill allows you to do queries on hierarchical data.
  • JSON and other schemaless data are supported by Apache Drill.
  • The Apache Drill architecture is built to make third-party and custom integrations as simple as possible by clearly specifying interfaces for query languages, query optimizers, storage engines, user-defined functions, user-defined nested data functions, and so on.

Clearly, the Apache Drill project has a lot to offer and a lot of qualities. These things are only achievable because of the enormous amount of effort and interest that a big number of firms have begun to contribute to the project, which is only possible because of the Apache umbrella's power.


Ques. 20): Why is MapR mentioning Apache Drill so much?


Originally Answered: Why is MapR mentioning Apache Drill so much?

Drill is a new and interesting low latency SQL-on-Hadoop solution with more functionality than the other options available, and MapR has done it in the Apache Foundation so that it, like Hive, is a real community shared open source project, which means it's more likely to gain wider adoption.

Drill is MapR's baby, so they're right to be proud of it - it's the most exciting thing to happen to SQL-on-Hadoop in years. They're also discussing it since it addresses real-world problems and advances the field.

Consider Drill to be what Impala could have been if it had more functionality and was part of the Apache Foundation.




April 18, 2022

Top 20 AWS Amplify Interview Questions and Answers


        AWS Amplify is a collection of tools (open source framework, visual development environment, console) and services (web app and static website hosting) for developing mobile and web apps on AWS.

Amplify Studio makes backend and frontend UI setting even easier with a visual point-and-click interface that integrates with the Amplify CLI. Amplify Studio also has management tools for app content and users. AWS Amplify also provides a fully managed web app and static website hosting solution, which allows you to host your front-end web app, create/delete backend environments, and set up CI/CD on both the front end and backend.

Finally, you can utilise AWS Device Farm to test apps on real iOS, Android, and web browsers as part of the broader set of front-end web and mobile development tools and services.

Ques. 1): What is AWS Amplify, and how does it work?


To develop an app backend and link it with your iOS, Android, Web, and React Native apps, Amplify's open source framework contains an opinionated set of libraries, UI components, and a command line interface (CLI). The framework makes use of a core set of AWS Cloud Services to provide high-scale features such as offline data, authentication, analytics, push notifications, and bots.

Ques. 2): What is the price of using AWS Amplify?


You only pay for the AWS services you use when you use Amplify's open source framework (libraries, UI components, CLI) or Amplify Studio. There are no additional fees associated with the use of these tools. Visit the AWS Amplify pricing page to learn more about AWS Amplify Hosting, Amplify's fully managed web app and static website hosting service. Visit the AWS Device Farm pricing page to learn more about AWS Device Farm pricing.

AWS EC2 Interview Questions and Answers

Ques. 3): What is the relationship between AWS Amplify and the AWS Mobile SDKs for iOS and Android?


Whether you've configured AWS services with the Amplify CLI or not, Amplify iOS and Amplify Android are the preferred ways to build iOS and Android apps that use them.

AWS Lambda Interview Questions and Answers

Ques. 4): What happened to Amazon Web Services' Mobile Hub?


Customers who already have an AWS Mobile Hub account can continue to use it. Instead, developers should use AWS Amplify for new projects.

AWS Simple Storage Service (S3) Interview Questions and Answers

Ques. 5): What can I do with Amplify Studio, the CLI, and the libraries?


With the Amplify libraries, you can add offline data, multifactor authentication, analytics, and other features to your app with just a few lines of code. With intuitive guided workflows, you can configure underlying cloud services such as AWS AppSync, Amazon Cognito, Amazon Pinpoint, AWS Lambda, Amazon S3, or Amazon Lex directly from the Amplify CLI or Amplify Studio, reducing the time it takes to set up and manage your backend services.

AWS Fargate Interview Questions and Answers

Ques. 6): What languages and platforms are supported by Amplify libraries?


Apps for iOS, Android, Web, Flutter, and React Native are all supported by the Amplify library. Deep integration with React, Ionic, Angular, and Vue.js is available for Web apps.

AWS SageMaker Interview Questions and Answers

Ques. 7): What is the web hosting service provided by AWS Amplify?


AWS Amplify offers a fully managed hosting solution for web apps and static webpages that can be accessed directly from the AWS dashboard, in addition to its development tools and features. The static web hosting service from AWS Amplify offers a complete workflow for developing, deploying, and hosting single-page web apps or static webpages with serverless backends. Continuous deployment allows developers to push updates to their web project with every Git commit. The app is deployed and hosted on an subdomain after the build is complete. To begin getting production traffic, developers can connect their custom domain.

AWS Cloudwatch interview Questions and Answers

Ques. 8): What is Amplify Studio, and how does it work?


Outside of the AWS console, Amplify Studio is a visual tool for setting and maintaining app backends and designing frontend UIs. Amplify Studio allows both developers and non-developers to manage app content and users after it has been deployed.

AWS Cloud Interview Questions and Answers Part - 1

Ques. 9): What is the relationship between AWS Amplify hosting and Amplify's open source framework?


AWS Amplify is a set of tools (including an open source framework and a graphical programming environment) as well as a fully managed web hosting solution. The framework's tools (libraries, UI components, and the CLI), as well as Amplify Studio, the console, and the static web hosting service, can all be used together or separately.

You can utilise the AWS dashboard to deploy and host Single Page App (SPA) frontends and static webpages, regardless of whether they require Amplify libraries.

AWS Amplify's static web hosting service provides additional capabilities if you're using the Amplify CLI to configure backend resources for your app. Before deploying your front end, AWS Amplify prepares or upgrades these backend resources on each check-in. When you utilise AWS Amplify's web hosting service, you may create a range of options, such as isolated backend deployments per branch or shared backend deployments across branches.

AWS Cloud Interview Questions and Answers Part - 2

Ques. 10): What elements of Amplify work with AWS cloud services?


Offline data, multi factor authentication, analytics, and other Amplify features are organised based on the use cases you need to integrate with your app. The appropriate AWS cloud services are provisioned for you when you configure these features using the Amplify CLI or the Amplify Studio. The setup is saved in CloudFormation templates, which can be shared with other developers and checked into source control. When you use the Amplify libraries to add these functionalities to your app, the library makes the appropriate calls to AWS services. 'Amplify add analytics,' for example, will set up Amazon Pinpoint. Then, when you utilise the Amplify library's Analytics APIs in your app, the necessary calls will be made to Pinpoint.

AWS Cloud Support Engineer Interview Question and Answers

Ques. 11): What is the best way to get started with AWS Amplify web hosting?


To get started, go to the AWS interface and connect your source repository to AWS Amplify. AWS Amplify detects the front-end framework and develops and delivers the app to a globally available content delivery network (CDN). Amplify can detect backend functionality introduced using the Amplify CLI or Amplify Studio and deploy the relevant AWS resources with the front end. AWS Amplify will instantly develop and deploy your web app, as well as host it on a global content delivery network (CDN) with a friendly URL (for example, Go to AWS Amplify in the AWS console to get started.

AWS Solution Architect Interview Questions and Answers

Ques. 12): What is the difference between the Amplify Studio and the Amplify console?


Within the AWS administration dashboard, the Amplify console serves as the command centre for your app. The AWS Amplify console displays all of the front-end and backend environments for your apps, whereas Amplify Studio has a separate instance for each backend environment.

The Amplify interface is where you can set up web hosting, full-stack CI/CD, add a custom domain, clone/delete multiple backend environments, and go to underlying AWS service consoles with AWS Amplify's fully managed web hosting solution. Amplify Studio, on the other hand, is used to configure and maintain the app backend, including adding features like authentication, data, and functions. After launching your app, the Amplify Studio also gives non-developers (QA, PMs) a way to manage app content and users.

AWS DevOps Cloud Interview Questions and Answers

Ques. 13): Is it possible to use the Amplify libraries without using the CLI?


Yes. The libraries can be used to access backend resources generated before the Amplify CLI was available.

AWS(Amazon Web Services) Interview Questions and Answers

Ques. 14): What kinds of web applications can I create and deploy?


AWS Amplify offers a fully managed static web hosting solution for web apps and static webpages that can be accessed directly from the AWS dashboard, in addition to its development tools and capabilities. The static web hosting service from AWS Amplify offers a complete workflow for developing, deploying, and hosting single-page web apps or static webpages with serverless backends. Continuous deployment allows developers to push updates to their web project with every Git commit. The app is deployed and hosted on an subdomain after the build is complete. To begin getting production traffic, developers can connect their custom domain.

AWS Database Interview Questions and Answers

Ques. 15): What is the purpose of Amplify Studio being outside of the AWS console?


Amplify Studio is available outside of the AWS console to allow front-end developers who are new to AWS to interact with AWS products more quickly and efficiently. Amplify Studio simplifies the elements required to create a cloud-connected online or mobile app, including both the backend and frontend user interface. Non-developers (QA testers, PMs) may manage the app's content and users with ease, without requiring developers to figure out the appropriate IAM roles and policies.

AWS ActiveMQ Interview Questions and Answers

Ques. 16): What is a 'app' in AWS Amplify?


Your project container is an AWS Amplify 'app.' A list of branches you've connected from your source repository is included in each app project. From your app project, you may connect extra feature branches, a custom domain, and view your build logs.


Ques. 17): What do you understand by continuous deployment?


Continuous deployment is a DevOps method for software releases in which each code commit to a repository is pushed to production or staging automatically. By guaranteeing that your hosted web app is constantly a representation of the latest code in your repository, this approach lowers time to market.


Ques. 18): Do my Git access tokens get stored by AWS Amplify web hosting?


Access tokens from repositories are never stored by AWS Amplify. We obtain an access token from your source provider after you approve AWS Amplify. We simply provide the token to our console, and all subsequent interactions with the GitHub API is done entirely through the browser. The token is permanently deleted after configuring continuous deployment.


Ques. 19): What are the different types of environmental variables? What am I going to do with them?


Environment variables are runtime configurations that apps require. Database connection information, third-party API keys, and various customisation settings and secrets are all possible options. The best approach to make these settings visible is to use environment variables. When building an app or in the app settings, you can add environment variables. To prevent unauthorised access, all environment variables are encrypted. Fill in the key and value textboxes with all of your app's environment variables. When you connect a new branch to AWS Amplify, the environment variables are automatically applied across all branches, so you don't have to re-enter them. After you've entered all of the variables, click Save.


Ques. 20): What happens when you run a build?


AWS Amplify will build a temporary compute container (4 vCPU, 7 GB RAM), download the source code, execute the project's commands, deploy the created artefact to a web hosting environment, and then destroy the compute container. AWS Amplify will send the build output to the service console during the build.