AWS Glue Interview Questions
The AWS Glue Interview Question and Answers blog offers an exhaustive selection of interview questions about AWS Glue, Amazon Web Services’ fully managed extract, transform, and load (ETL) service.
AWS Glue allows for seamless data processing across various sources – and our goal here at this blog is to assist with preparation for interviews utilising this powerful and flexible ETL platform!
Our goal here at this AWS Glue ETL interview questions is to help you become an AWS Glue expert, so our mission is to bring the latest and most accurate interview questions on AWS Glue.
1. What is AWS Glue?
AWS Glue is a powerful tool for scheduling and managing jobs in AWS.
It allows users to create and manage various triggers, including daily events and schedules, to automate their workflows and improve productivity.
It automates ETL to prepare data for analysis.
2. What does the AWS Glue data catalogue do?
The AWS Glue data catalogue allows you to store data using various AWS services while maintaining a unified view of your data.
3. What are the benefits of using AWS Glue?
The benefits of using AWS Glue include less hassle, integration across a wide range of AWS services, cost-effectiveness, and the ability to manage resources on a fully managed scaled-out Apache Spark environment.
4. What types of data sources does AWS Glue support?
AWS Glue supports data stored in Amazon Aurora, Amazon RDS engines, Amazon Redshift, Amazon S3, and standard database engines and databases in your virtual private cloud running on Amazon EC2.
5. What is the function of AWS Glue?
AWS Glue defines jobs to extract, transform, and load data from a data source to a data target.
The workflow involves defining a crawler to populate the AWS data catalogue with metadata table definitions, generating a script to transform data, running the demanding job, or setting it up to start when a specified trigger occurs.
6. What are the key components of AWS Glue?
The key components of AWS Glue are the central metadata repository called the AWS Glue data catalogue, an ETL engine that generates Python or Scala code, and a flexible scheduler that handles dependency resolution, job monitoring, and retracing.
7. What is AWS Glue, and what are its terminologies?
AWS Glue is a data catalogue service provided by Amazon Web Services that helps manage and process data.
The terminologies used in AWS Glue include data catalogue, classifier, connection, crawler, database, data store, data source, data target, development endpoint, job, notebook server, script, and table.
8. What is the data catalogue in AWS Glue, and what does it contain?
The data catalogue is a persistent metadata store in AWS Glue that contains table definitions, job definitions, and other control information.
It stores information about the data sets and tables AWS Glue is processing.
9. What are classifiers in AWS Glue, and what types of data sources do they support?
AWS Glue provides classifiers for common file types and relational database management systems.
The classifiers identify the type of data stored in a particular file or database, which helps extract and transform the data for processing.
10. What is a connection in AWS Glue, and what properties does it include?
A connection in AWS Glue includes properties required to connect to the data store.
These properties form the data source type, location, necessary credentials to access the data source, and other relevant information.
11. What is a job in AWS Glue, and what does it comprise?
A job in AWS Glue is a business logic required to perform ETL work comprising transformation script data sources and targets.
It runs on a scheduler or is triggered by events and includes the code to extract data from sources, transform it, and load it into the targets.
12. What are triggers in AWS Glue, and how are they initiated?
Triggers in AWS Glue are used to initiate job runs. They can be scheduled or triggered by events, such as the completion of another job or the arrival of new data.
13. What is a notebook server in AWS Glue, and what is it used for?
A notebook server in AWS Glue is a web-based environment for running PySpark statements with AWS Glue extensions.
It is used for developing and testing ETL scripts and other business logic.
14. What is a script in AWS Glue, and what does it contain?
A script in AWS Glue contains the code to extract data from sources, transform it, and load it into the targets.
It is written in the PySpark programming language and can be used to perform a wide range of ETL tasks.
15. What is the difference between a data source and a data target in AWS Glue?
A data source in AWS Glue is the location of the data being extracted for processing. A data target is the location where the processed data is being loaded.
In other words, the data source is the input to the ETL process, while the data target is the output.
16. How can AWS Glue be used to process data?
AWS Glue can process data by creating an Amazon S3 bucket with the data, creating two folders, and uploading a CSV file.
The data set will be used for an ETL operation, which will be performed using thePySparkprogramming language and the AWS Glue data catalogue.
17. How does AWS Glue work?
AWS Glue is a powerful tool for managing and transforming data in various ways.
18. What is the purpose of the customer CSV file from GitHub in AWS Glue?
The customer CSV file from GitHub is used to create data for AWS Glue. It includes customer ID, title, first name, middle name, last name, soft-fixed customer, password hashes, phones, and emails.
19. How does AWS Glue create a metadata table?
AWS Glue creates a metadata table by connecting to a data store like an Amazon S3 bucket and performing ETL operations on the data.
20. How do I configure the crawler output in AWS Glue?
Select the frequency and database needed for the crawler data source type to configure the crawler output in AWS Glue.
21. What is the setup process for AWS Glue?
The setup process for AWS Glue involves logging into the AWS console, creating a new bucket, and creating folders for data, temp-given directories, and scripts.
The first folder is the customer’s underscore database, where customer artefacts are stored. The second folder is the customer’s customers.
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22. How do I create an IAM rule using AWS Glue?
To create an IAM role using AWS Glue, you can create a role, create a policy, and attach role policy permissions.
23. What is the next step after creating a metadata table in AWS Glue?
After creating a metadata table in AWS Glue, the next step is to create a job in the ETL section, which runs a proposed script generated by AWS Glue.
24. How do I customise the job in AWS Glue?
You can customise the job in AWS Glue by entering a specific name, security configuration, maximum capacity, and timeout.
25. What is the security configuration in AWS Glue?
The security configuration in AWS Glue includes entering the maximum and minimum capacity and setting the job timeout.
26. How do I change the schema in AWS Glue?
In AWS Glue, you can change the schema by selecting the transform type and specifying the mapping between the source and target columns.
27. What does AWS Glue generate for the proposed script?
The proposed script generated by AWS Glue contains the ETL operation for the data set, which includes the decade, movie count, and rating mean.
28. What are the components of the AWS Glue data catalogue?
The AWS Glue data catalogue includes databases, tables, connections, crawlers, classifiers, schema registries, and settings.
Databases are sets of associated data catalogue tables organised in a logical grid, and the data or tables all reside in their original locations.
29. What format is the output generated in AWS Glue?
The output generated in AWS Glue is in CSV format.
30. What is the importance of AWS Glue?
AWS Glue is a metadata repository central to the course and a fully managed serverless ETL tool that removes overhead and buyers’ entry when an ETL service is required in AWS.
It is a native AWS ETL service that allows users to move data around AWS without managing the infrastructure.
31. What is included in the output of the ETL script?
The output of the ETL script includes the decade, movie count, and rating mean in a CSV file format.
32. What is the purpose of the AWS Glue data catalogue?
The AWS Glue data catalogue is a managed service that controls access to the megastore and its resources and can be used for data governance.
It allows users to store unsure metadata, which can be used to query and transform data.
The metadata can include data location, schema, data types, and classification.
33. What is a crawler in AWS Glue?
A crawler in AWS Glue is a process that automatically discovers and registers data sources in the data catalogue, making it easier to access and manage data.
34. What is the purpose of AWS Glue development endpoints?
AWS Glue dev endpoints provide a development environment for building and testing ETL jobs and crawlers.
35. What is the AWS Glue data catalogue?
The AWS Glue data catalogue is a persistent meta store that allows users to store metadata about data sources and transformations.
Metadata includes data location, schema, data types, and classification.
It is a managed service that controls access to the megastore and its resources and can be used for data governance.
36. How is the AWS Glue data catalogue used in AWS Glue?
The AWS Glue data catalogue stores metadata about data sources and transformations. This metadata can be used to query and transform data.
It is a managed service that controls access to the megastore and its resources and can be used for data governance.
37. What is the purpose of the customer CSV file in this scenario?
The customer CSV file creates data that includes customer ID, title, first name, middle name, last name, soft-fixed customer, password hashes, phones, and emails.
This data is then downloaded as a zip and uploaded to the main downloads folder.
38. What is the role of IAM in creating an IAM role for AWS Glue?
IAM is used to create a role in IAM and give it admin access.
This role is used for learning purposes, but tags are left out. The rule is called Glue course and has full access.
39. How doesthe AWS Glue data catalogue work?
The AWS Glue data catalogue is a persistent megastore that allows users to store metadata, which can be used to query and transform data.
It includes databases, tables, connections, crawlers, classifiers, schema registries, and settings.
40. What is the default database in the AWS Glue data catalogue?
AWS creates the default database in the AWS Glue data catalogue.
41. What is the logical grid in the AWS Glue data catalogue?
The logical grid in the AWS Glue data catalogue is a way of organising associated data catalogue tables.
It comprises databases, and all the data or tables reside in their original locations.
42. What is the importance of the AWS Glue data catalogue?
The AWS Glue data catalogue is a managed service that controls access to the megastore and its resources and can be used for data governance.
It allows users to store unsure metadata, which can be used to query and transform data.
The metadata can include data location, schema, data types, and classification.
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43. What service is AWS Glue Data Catalogue?
AWS Glue Data Catalogue is a managed service that allows users to store metadata, control access to resources, and use metadata for data governance.
44. How can users create a database in S3?
Users can create a customer folder in the S3 folder and create tables within it. The tables should be set inside this folder, and customers should be used.
45. What should users use for their tables in Spark?
Users should use small letters and underscores for their tables in Spark since Spark uses underscores for its engine.
46. What is the purpose of AWS Glue crawlers?
AWS Glue crawlers analyse data on S3 or databases, saving the schema for manual entry.
47. How can users manually add a table to the AWS Glue Data Catalogue?
To add a table manually to the AWS Glue Data Catalogue, navigate to the AWS glue console and select databases, customer database, tables, and customer database.
Then, select the add tables manually option and specify the path in the account with the data residing in the S3 bucket.
48. What is the role of the AWS Glue data catalogue?
The purpose of the AWS Glue data catalogue is to store metadata about data and provide a centralised location for accessing and managing data in AWS.
49. How can users create an AWS Glue Data Catalogue database?
Users can create a database in the AWS Glue Data Catalogue by creating a customers folder in the S3 folder and using small letters and underscores for their tables.
50. What is the purpose of AWS Glue tables?
The purpose of AWS Glue tables is to group tables and metadata, ensuring that data remains in its original store.
52. How can data be added to the S3 bucket?
Data can be added to the S3 bucket by loading data into the S3 bucket.
53. What are partitions in AWS?
AWS’s parts represent physical entities mapped to logical entities, allowing queries to only look at specific folders for specified queries.
54. What is AWS Crawler, and what does it do?
AWS Crawler is a tool to add data to a CSV file. It allows users to add columns manually, such as download, name style, and title.
However, it may take time to add each column manually.
Instead, the crawler tool can add tables using a specific rule, simplifying data management and improving performance.
55. What are AWS Athena results saved and viewed in?
The Athena results are saved and can be viewed in the editor.
56. What are connection objects in AWS Glue?
Connection objects in AWS Glue are part of the glue ecosystem and are used to connect to a particular data store.
They are catalogued with properties required to connect to a data store, such as connection strings with user names and passwords saved.
57. What are AWS Glue jobs?
AWS Glue jobs are the crux of ETL (Extract, Transform, Load) work. They include a transformation script, data sources, and data targets.
They are initiated by triggers that can be scheduled, triggered by events, or manually run the script.
High AWS automates some of the creation of scripts and parts needed for these jobs.
58. How to set up a job in AWS to add data to a CSV file?
To set up a job in AWS to add data to a CSV file, go to the AWS console, go to ETL and go to jobs. Once on jobs, click Agile and call the customer CSV to par.
Set up the job on their job properties, leave everything else as default, and add the path to the S3 bucket.
Then, change the schema and create tables in the target data.
59. What is AWS Glue, and what does it do?
AWS Glue is a fully managed ETL service designed to simplify and cost-effectively categorise, clean, enrich, and move data between various stores.
60. What benefits does AWS Glue offer?
AWS Glue offers various benefits, including improved workflow and productivity and the ability to experiment with different events, triggers, and schedules.
61. What is the primary purpose of AWS Glue?
A) Categorize and enrich data
B) Store data using various AWS services
C) Transfer data from a source database into a data warehouse
D) Run serverless queries against Amazon S3 data lake
62. What are the benefits of using AWS Glue?
A) Less hassle and cost-effectiveness
B) Integration across a wide range of AWS services
C) Ability to manage resources on a fully managed scaled-out Apache Spark environment
D) All of the above
63. What is the data catalogue in AWS Glue?
A) Maintains table, job, and control information metadata.
B) PySpark statements with AWS Glue extensions are executed online.
C)Provides fundamental data set columns, data type definitions, partition information, and metadata.
D) Script that contains the code to extract data from sources, transform it, and load it into the targets
64. What is a data source in AWS Glue?
A)Database that stores data in a structured format
B) Permanent metadata storage, including table, job, and control information.
C) Web-based environment for running PySpark statements with AWS Glue extensions
D) Script that contains the code to extract data from sources, transform it, and load it into the targets
65. What is the logical grid of associated data catalogue tables organised in the AWS glue data catalogue?
A) Hierarchical structure
B) Flat structure
C) Nested structure
D) Tree structure
Answers:
61. C) Transfer data from a source database into a data warehouse
62. D) All of the above
63. A) Maintains table, job, and control information metadata.
64. B) Permanent metadata storage, including table, job, and control information.
65. C) Nested structure
AWS Glue Interview Questions for experienced users, as previously outlined. AWS Glue is an ETL service that addresses data integration, quality, and management challenges.
AWS Glue’s main features are data extraction, transformation and loading with real-time processing and monitoring logging capabilities for real-time processing of ETL jobs.
Real-time monitoring of serverless architecture with data transformation service capabilities is provided.
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