Apache Presto Interview Questions: Greetings! looking for the Apache Presto Interview Questions for Freshers? Apache Presto is a distributed SQL query engine designed for fast and interactive analytics. It is widely used by companies to process large amounts of data in real time, making it a popular technology among developers and data analysts. If you are preparing for an Apache Presto interview, it is important to have a good understanding of the technology and its features with the help of the Apache Presto Interview Questions and Answers provided below in this article.
As a fresher, it’s important to have a strong understanding of basic database concepts, such as normalization and indexing. You may also be asked about your understanding of data structures and algorithms, as well as your experience with SQL programming. Make sure that you go through all the Latest Apache Presto Interview Questions which are accommodated down.
Top 50 Apache Presto Interview Questions and Answers 2023
To ace your Apache Presto interview, it’s important to be able to articulate your ideas clearly and concisely, as well as demonstrate your problem-solving skills and ability to work effectively in a team environment. With the right preparation and mindset, you can increase your chances of landing your dream job and taking your career to the next level. Follow the Apache Presto Technical Interview Questions presented below and get to know the required knowledge.
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1. What is Apache Presto?
Ans: Apache Presto is an open-source distributed SQL query engine that allows users to query data where it is stored.
2. What are the benefits of using Apache Presto?
Ans: Some of the benefits of using Apache Presto include its ability to handle large volumes of data, support for multiple data sources, and its scalability and performance.
3. How does Apache Presto handle distributed querying?
Ans: Apache Presto uses a distributed architecture that enables it to query data stored across multiple data sources and nodes simultaneously.
4. What are the data sources that Apache Presto can work with?
Ans: Apache Presto can work with a wide range of data sources, including Hadoop, Cassandra, MongoDB, and relational databases like MySQL and PostgreSQL.
5. What is a coordinator in Apache Presto?
Ans: The coordinator is a node in Apache Presto that manages query planning and execution.
6. What is a worker in Apache Presto?
Ans: A worker is a node in Apache Presto that performs query processing and execution.
7. How does Apache Presto handle data serialization?
Ans: Apache Presto uses a binary serialization format called Apache Thrift to serialize and deserialize data.
8. What is a query plan in Apache Presto?
Ans: A query plan is a sequence of steps that Apache Presto follows to execute a query.
9. How does Apache Presto handle query optimization?
Ans: Apache Presto uses a cost-based optimizer to generate the most efficient query plan for a given query.
10. What are the components of Apache Presto?
Ans: The main components of Apache Presto are the coordinator, workers, and connectors.
11. What is a connector in Apache Presto?
Ans: A connector is a module in Apache Presto that allows it to connect to a specific data source.
12. What is a plugin in Apache Presto?
Ans: A plugin is a collection of connectors that are used to connect to a specific data source.
13. How does Apache Presto handle query caching?
Ans: Apache Presto provides a query cache that stores the results of frequently executed queries in memory for faster access.
14. What is a query coordinator in Apache Presto?
Ans: The query coordinator is a component in Apache Presto that manages query execution across multiple workers.
15. What is a resource manager in Apache Presto?
Ans: The resource manager is a component in Apache Presto that manages the allocation of system resources, such as CPU and memory, across multiple queries and workers.
16. How does Apache Presto handle security?
Ans: Apache Presto provides several security features, including authentication, authorization, and encryption, to ensure the security of data and prevent unauthorized access.
17. What is a catalog in Apache Presto?
Ans: A catalog is a module in Apache Presto that allows it to access metadata about data sources and tables.
18. What is a schema in Apache Presto?
Ans: A schema is a namespace that contains tables in Apache Presto.
19. What is a table in Apache Presto?
Ans: A table is a logical representation of data stored in a data source in Apache Presto.
20. What is a query in Apache Presto?
Ans: A query is a request to Apache Presto to retrieve data from one or more data sources.
21. What is a view in Apache Presto?
Ans: A view is a virtual table that is defined by a SQL query in Apache Presto.
22. How does Apache Presto handle SQL queries?
Ans: Apache Presto supports a wide range of SQL queries, including complex queries that involve joins, subqueries, and aggregations.
23. What is the syntax for creating a table in Apache Presto?
Ans: The syntax for creating a table in Apache Presto is:
| CREATE TABLE table_name (column1 datatype1, column2 datatype2, column3 datatype3, … |
24. What is the syntax for creating a view in Apache Presto?
Ans: The syntax for creating a view in Apache Presto is:
| CREATE VIEW view_name AS SELECT column1, column2, column3, … FROM table_name WHERE condition; |
25. What is the syntax for creating a database in Apache Presto?
Ans: The syntax for creating a database in Apache Presto is:
| CREATE SCHEMA database_name; |
26. What is the syntax for dropping a table in Apache Presto?
Ans: The syntax for dropping a table in Apache Presto is:
| DROP TABLE table_name; |
27. What is the syntax for dropping a view in Apache Presto?
Ans: The syntax for dropping a view in Apache Presto is:
| DROP VIEW view_name; |
28. What is the syntax for dropping a database in Apache Presto?
Ans: The syntax for dropping a database in Apache Presto is:
| DROP SCHEMA database_name; |
29. What is a join in Apache Presto?
Ans: A join is an operation that combines rows from two or more tables based on a common column.
30. What is a subquery in Apache Presto?
Ans: A subquery is a query that is nested within another query.
31. What is an aggregate function in Apache Presto?
Ans: An aggregate function is a function that performs a calculation on a set of values and returns a single value.
32. What is a group by clause in Apache Presto?
Ans: A group by clause is a SQL clause that groups rows based on a common column and applies an aggregate function to each group.
33. What is a window function in Apache Presto?
Ans: A window function is a function that performs a calculation on a set of rows and returns a value for each row.
34. What is a union in Apache Presto?
Ans: A union is an operation that combines rows from two or more tables into a single result set.
35. What is a limit clause in Apache Presto?
Ans: A limit clause is a SQL clause that restricts the number of rows returned by a query.
36. What is a partition in Apache Presto?
Ans: A partition is a subset of a table’s data that is stored separately from other subsets of data.
37. What is a bucket in Apache Presto?
Ans: A bucket is a subset of a table’s data that is stored together based on a common column.
38. What is a skew in Apache Presto?
Ans: A skew is a situation where the data in a table is not evenly distributed across its partitions or buckets.
39. What is a distributed join in Apache Presto?
Ans: A distributed join is a join operation that involves data stored across multiple nodes in a distributed system.
40. What is a hash join in Apache Presto?
Ans: A hash join is a type of join operation that uses a hash function to match rows from two tables.
41. What is a broadcast join in Apache Presto?
Ans: A broadcast join is a type of join operation that broadcasts a small table to all nodes in a distributed system.
42. What is a shuffle join in Apache Presto?
Ans: A shuffle join is a type of join operation that involves shuffling data between nodes in a distributed system.
43. What is a map reduce in Apache Presto?
Ans: MapReduce is a programming model for processing large datasets in a distributed system.
44. What is a container in Apache Presto?
Ans: A container is a lightweight runtime environment that is used to execute code in Apache Presto.
45. What is a task in Apache Presto?
Ans: A task is a unit of work that is assigned to a worker node in Apache Presto.
46. What is a heartbeat in Apache Presto?
Ans: A heartbeat is a signal that is sent between nodes in a distributed system to indicate that they are still alive.
47. What is a coordinator node in Apache Presto?
Ans: The coordinator node is the node in Apache Presto that is responsible for receiving and processing queries, coordinating the execution of tasks across worker nodes, and returning the results to the client.
48. What is a worker node in Apache Presto?
Ans: A worker node is a node in Apache Presto that executes tasks assigned to it by the coordinator node.
49. What is a query plan in Apache Presto?
Ans: A query plan is a series of steps that the Apache Presto engine takes to execute a query.
50. What is the difference between Apache Presto and Apache Hive?
Ans: Apache Presto and Apache Hive are both distributed SQL engines that can be used to query data stored in Hadoop. However, there are some differences between them. Apache Presto is designed to provide fast, interactive querying of data from multiple sources, while Apache Hive is designed for batch processing of large datasets. Apache Presto supports a wider range of data sources than Apache Hive, including relational databases, Cassandra, and MongoDB. Additionally, Apache Presto has a more flexible and extensible architecture than Apache Hive.
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