{"id":23091,"date":"2018-08-13T08:05:29","date_gmt":"2018-08-13T08:05:29","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=23091"},"modified":"2018-08-13T08:05:29","modified_gmt":"2018-08-13T08:05:29","slug":"avro-interview-questions","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/avro-interview-questions\/","title":{"rendered":"Best 25 Apache Avro Interview Questions &amp; Answers"},"content":{"rendered":"<p><span style=\"font-weight: 400\">As we saw a comprehensive understanding of <strong>Apache Avro<\/strong>. So, it&#8217;s time to polish them with these most frequently asked Apache Avro Interview Questions and Answers. <\/span><\/p>\n<p><span style=\"font-weight: 400\">These Apache Avro Interview Questions will help both freshers and experienced to crack Avro Interviews.<\/span>\u00a0If you want to perform best in Avro Interviews, you can prepare yourself with us.<\/p>\n<p>So, let&#8217;s start Apache Avro Interview Questions<\/p>\n<h2>Apache Avro Interview Questions<\/h2>\n<p><span style=\"font-weight: 400\">Here is the list of mostly asked Avro Interview Questions and Answers in detail:<\/span><\/p>\n<p><strong>Que 1. What is Apache Avro?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> An open source project which offers data serialization as well as data exchange services for Apache Hadoop is what we call Apache Avro. It is possible to use these services together or independently both. <\/span><\/p>\n<p><span style=\"font-weight: 400\">However, programs can efficiently serialize data into files or into messages, with the serialization service. In addition, data storage is very compact and efficient in Avo because here data definition is in JSON, so, \u00a0data itself is stored in the binary format making it compact and efficient.<\/span><\/p>\n<p><strong> Que 2. State some key Points about Apache Avro.<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> Some key points are:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Avro is a Data serialization system<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">It uses JSON based schemas<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Moreover, to send data, it uses RPC calls.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">And, during data exchange, Schema&#8217;s sent.<\/span><\/li>\n<\/ul>\n<p><strong>Que 3. What Avro offers?<\/strong><\/p>\n<p><span style=\"font-weight: 400\">Ans. \u00a0Avro offers:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Avro offers Rich data structures.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">And, a compact, fast, binary data format.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Further, it offers a container file, to store persistent data.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Remote procedure call (RPC).<\/span><\/li>\n<\/ul>\n<p><strong>Que 4. Who are Intended Audience to learn Avro?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> Those people who want to learn the basics of Big Data Analytics by using Hadoop Framework and also those who aspire to become a successful Hadoop developer can go for Avro. Further, those aspirants who want to use Avro for data serialization and deserialization can also learn Avro.<\/span><\/p>\n<p><strong>Que 5. What are Prerequisites to learn Avro?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> Those who want to learn Avro must know Hadoop&#8217;s architecture and APIs, before learning Avro. Also must know Java with experience in writing basic applications before\u00a0going for Avro.<\/span><\/p>\n<p><strong>Que 6. Explain Avro Schemas.<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> Mainly, Avro heavily depends on its schema. Basically, it permits every data to be written with no prior knowledge of the schema. We can say Avro serializes fast and the data resulting after serialization is least in size with schemas.<\/span><\/p>\n<p><strong>Que 7. Explain Thrift &amp; Protocol Buffers Vs. Avro<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> The most competent libraries with Avro are Thrift and Protocol Buffers. The difference between them is \u2212<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">As per the need, Avro supports both dynamic and static types. Basically, \u00a0to specify schemas and their types, Protocol Buffers and Thrift uses Interface Definition Languages (IDLs).<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">As Avro is built in the Hadoop ecosystem but Thrift and Protocol Buffers are not.<\/span><\/li>\n<\/ul>\n<p><strong>Que 8. Why Avro?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> Some features where Avro differs from other systems, are:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Dynamic typing:<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Untagged data:<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">No manually-assigned field IDs<\/span><\/li>\n<\/ul>\n<p><strong>Apache Avro Interview Questions for freshers- Q. 1,2,3,4,5,6,8<\/strong><\/p>\n<p><strong>Apache Avro Interview Questions for experienced- Q.7<\/strong><\/p>\n<p><strong>Que 9. How to use Avro?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> The workflow to <strong>use Avro<\/strong> is \u2212<\/span><br \/>\n<span style=\"font-weight: 400\">We need to create schemas at first \u00a0to read the schemas into our program, that is possible in two ways:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Generating a Class Corresponding to Schema \u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Using Parsers Library<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Then perform the serialization by using serialization API provided for Avro. And then perform deserialization by using deserialization API provided for Avro.<\/span><\/p>\n<p><strong>Que 10. Name some Primitive types of Data types, Avro Supports.<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> Avro supports a wide range of Primitive datatypes:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Null: no value<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">boolean: a binary value<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">int: 32-bit signed integer<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">long: 64-bit signed integer<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">float: single precision (32-bit) IEEE 754 floating-point number<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">double: double precision (64-bit) IEEE 754 floating-point number<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">bytes: the sequence of 8-bit unsigned bytes<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">string: Unicode character sequence<\/span><\/li>\n<\/ul>\n<p><strong>Que 11. Name some Complex types of Data types, Avro Supports.<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> There are six kinds of complex types which Avro supports :<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Records<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Enums<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Arrays<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Maps<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">unions<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">fixed<\/span><\/li>\n<\/ul>\n<p><strong>Que 12. What are best features of Apache Avro?<\/strong><br \/>\n<span style=\"font-weight: 400\"><strong>Ans.<\/strong> \u00a0Some of the best <strong>features of Avro<\/strong> are:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Schema evolution<\/span><\/li>\n<li>Untagged data<\/li>\n<li>language support<\/li>\n<li>transparent compression<\/li>\n<li>Dynamic typing<\/li>\n<li>native support in MapReduce<\/li>\n<li>Rich data structures<\/li>\n<\/ul>\n<p><strong>Que 13. Explain some Advantages of Avro.<\/strong><br \/>\n<span style=\"font-weight: 400\"><strong>Ans.<\/strong> Pros of Avro are:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">The Smallest Size.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">It Compresses block at a time; splittable.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Maintained Object structure.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Also, Supports reading old data w\/ new schema.<\/span><\/li>\n<\/ul>\n<p><strong>Que 14. Explain some Disadvantages of Avro.<\/strong><br \/>\n<span style=\"font-weight: 400\"><strong>Ans.<\/strong> Cons of Avro are:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">It is must to use .NET 4.5, in the case of C# Avro, to make the best use of it.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Potentially slower serialization.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">In order to read\/write data, need a schema.<\/span><\/li>\n<\/ul>\n<p><strong>Que 15. What do you mean by Schema Declaration?<\/strong><br \/>\n<span style=\"font-weight: 400\"><strong>Ans.<\/strong> In JSON, a Schema is represented by one of:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">A JSON string<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">A JSON object:<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">{&#8220;type&#8221;: &#8220;typeName&#8221; &#8230;attributes&#8230;}<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">A JSON array<\/span><\/li>\n<\/ul>\n<p><strong>Que 16. Explain the term Serialization.<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> To transport the data over the network or to store on some persistent storage, the process of translating data structures or objects state into binary or textual form is what we call Serialization. In other words, <strong>serialization<\/strong> is also knowns as marshaling and deserialization is known as unmarshalling.<\/span><\/p>\n<p><strong> Que 17. What do you mean by Schema Resolution?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong> Ans.<\/strong> Whether from an RPC or a file, a reader of Avro data, can always parse that data since its schema is offered.\u00a0yet it is possible that schema may not be exactly the schema\u00a0what we expect so for that purpose we use Schema Resolution.<\/span><\/p>\n<p><strong> Que 18. Explain the Avro SASL Profile?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"> An<strong>s.<\/strong> Basically, SASL\u00a0offers a framework for authentication and security of network protocols. In Avro also we use <strong>SASL Profile<\/strong> for\u00a0authentication and security purpose.<\/span><\/p>\n<p><strong>Apache Avro Interview Questions for freshers- Q.9,10,11,12,13,14,16,17,18<\/strong><\/p>\n<p><strong>Apache Avro Interview Questions for experienced- Q.15<\/strong><\/p>\n<p><strong>Que 19. What is the way of creating Avro Schemas?<\/strong><br \/>\n<span style=\"font-weight: 400\">Ans. In the format \u201clightweight text-based data interchange\u201d, JavaScript Object Notation (JSON), the Avro schema gets created. We can make it in various ways \u2212<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">A JSON string<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">JSON object<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">A JSON array<\/span><\/li>\n<\/ul>\n<p><strong>Que 20. Name some AVRO Reference APIs.<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> The classes and methods which we use in the serialization, as well as deserialization of Avro schemas, are:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">SpecificDatumWriter Class<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">SpecificDatumReader Class<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">DataFileWriter<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Data FileReader<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Class Schema.parser<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Interface GenricRecord<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Class GenericData.Record<\/span><\/li>\n<\/ul>\n<p><strong>Que 21. When to use Avro, explain?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> Mainly, for two purposes, we use<strong> Avro<\/strong>, like:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Data serialization<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">RPC (Remote procedure call) protocol<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Although, some key points are:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">We are able to read the data from disk with applications, by using Avro even which are written in other languages besides java or the JVM.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Also, Avro allows us to transfer data across a remote system without any overhead of <strong>java serialization<\/strong>.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">We use Avro when we need to store the large set of data on disk, as it conserves\u00a0space.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Further, by using Avro for RPC, we get a better remote data transfer.<\/span><\/li>\n<\/ul>\n<p><strong>Que 22. Explain Sort Order in brief.<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong> Ans.<\/strong> There is a standard sort order for data in Avro which allows data written by one system to be efficiently sorted by another system. As sort order comparisons are sometimes the most frequent per-object operation, it can be an important optimization.<\/span><\/p>\n<p><strong> Que 23. What is the Advantage of Hadoop over Java Serialization?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong> Ans.<\/strong> As with the help of the Writable objects, Hadoop\u2019s Writable-based serialization is\u00a0able to reduce object-creation overhead, which is not possible with the Java\u2019s native serialization framework that&#8217;s why using Hadoop one is an advantage.<\/span><\/p>\n<p><strong> Que 24. What are the Disadvantages of Hadoop Serialization?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong> Ans.<\/strong> T<\/span><span style=\"font-weight: 400\">he only disadvantage of<strong> Hadoop Serialization<\/strong> is that\u00a0the Writables and SequenceFiles have only a Java API. Hence to solve this issue, Avro comes in picture.<\/span><\/p>\n<p><strong> Que 25. Who developed Apache Avro?<\/strong><br \/>\n<span style=\"font-weight: 400\"><strong>Ans.<\/strong> By Doug Cutting, the father of Hadoop, Apache AVRO was developed.<\/span><\/p>\n<p><strong>Apache Avro Interview Questions for freshers- Q.20,21,23,24,25<\/strong><\/p>\n<p><strong>Apache Avro Interview Questions for experienced- Q.19,22<\/strong><\/p>\n<p>So, this was all in Apache Avro Interview Questions. Hope you like our explanation.<\/p>\n<h2>Conclusion &#8211; Avro Interview Questions<\/h2>\n<p><span style=\"font-weight: 400\">Hence, we have seen best 25 Apache Avro Interview Questions and Answers. However, if you found any other questions on Avro, which may come in Interviews, so, to help others, you can also suggest them in the comment tab. Apart from all, we hope\u00a0this article will\u00a0help. Happy learning!<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>As we saw a comprehensive understanding of Apache Avro. So, it&#8217;s time to polish them with these most frequently asked Apache Avro Interview Questions and Answers. These Apache Avro Interview Questions will help both&#46;&#46;&#46;<\/p>\n","protected":false},"author":7,"featured_media":24951,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12],"tags":[1281,1284,1288,1815,3031,5081,6008,15603,16128],"class_list":["post-23091","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-avro","tag-avro-advantages","tag-avro-disadvanatges","tag-avro-iinterview-questions","tag-best-avro-interview-questions","tag-crack-avro-interview","tag-get-selected-in-avro-interview","tag-how-to-crack-avro-interview","tag-what-is-avro","tag-why-avro"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Best 25 Apache Avro Interview Questions &amp; Answers - DataFlair<\/title>\n<meta name=\"description\" content=\"Apache Avro interview Questions, interview Questions and answers for Avro, what questions are to be asked in Avro Interview, preparation for Avro Interview\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/blogs\/avro-interview-questions\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Best 25 Apache Avro Interview Questions &amp; 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