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DevOps Engineer - Remove Duplicates with Replacement (Python Function) Test | Pre-employment assessment - Testlify
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DevOps Engineer - Remove Duplicates with Replacement (Python Function) Test

Overview of DevOps Engineer - Remove Duplicates with Replacement (Python Function) Test

This java program calculates the factorial of a given number by multiplying all the integers from 1 to the given number.

Skills measured

  • Linux System Administration
  • Shell Scripting
  • Coding knowledge - Bash
  • Coding knowledge - Python
  • Monitoring and Logging
  • Coding knowledge

Available in



Coding Test


10 Mins





Use of DevOps Engineer - Remove Duplicates with Replacement (Python Function) test

The "Remove Duplicates with Replacement (Python Function)" coding test challenges DevOps Engineers to create a Python function called remove_duplicates that takes a list of integers as input and returns a new list with all duplicates removed. In the new list, if there are multiple occurrences of the same integer, except the last occurrence, they should be replaced with the '_' character. The task requires knowledge of list manipulation, duplicate removal, and replacement in Python. DevOps Engineers need to demonstrate their proficiency in Python programming, list operations, and problem-solving.

This test evaluates their ability to handle list inputs, identify duplicates, perform replacements, and generate accurate results using Python functions. It is particularly relevant for DevOps Engineers looking to showcase their skills in Python programming and their understanding of list manipulation and algorithmic thinking.

Relevant for

  • Cloud Engineer
  • DevOps Engineer
  • Automation Engineer
  • Deployment Engineer
  • Infrastructure Engineer
  • Systems Engineer
  • Site Reliability Engineer (SRE)
  • Release Engineer
  • Build Engineers

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Linux System Administration

In the DevOps Engineer - Remove Duplicates with Replacement (Python Function) course, Linux System Administration skills are covered to ensure efficient management and maintenance of Linux systems. The ability to navigate the Linux command line, perform system updates, manage user accounts, configure network settings, and troubleshoot system issues are crucial for a DevOps engineer. These skills are important as they enable the engineer to effectively manage the infrastructure, ensure smooth operation of the systems, and troubleshoot any issues that may arise, ultimately leading to improved performance and reliability of the overall system.


Shell Scripting

Shell scripting is an essential skill for DevOps engineers as it allows them to automate repetitive tasks and streamline processes. In this particular skill, the engineer learns how to remove duplicates in a dataset using a Python function. This is important as it helps in cleaning up data and ensuring accuracy in analysis. By using shell scripting to implement this functionality, the engineer can save time and effort, leading to increased efficiency in their workflows. This skill is particularly useful in handling large datasets and maintaining data integrity in DevOps environments.


Coding knowledge - Bash

In the DevOps Engineer - Remove Duplicates with Replacement (Python Function) course, learners will gain a strong understanding of Bash scripting, a crucial skill in the field of DevOps. Bash scripting is essential for automating repetitive tasks, managing servers, and troubleshooting issues efficiently. By mastering Bash scripting, DevOps engineers can streamline their workflow, enhance productivity, and minimize the risk of human error. The course specifically focuses on removing duplicates from a dataset using Python functions, equipping learners with the necessary skills to clean and manipulate data effectively in a DevOps environment.


Coding knowledge - Python

The Python skill covered in DevOps Engineer - Remove Duplicates with Replacement (Python Function) is essential for efficiently managing data in a DevOps environment. This skill allows the engineer to write a function that removes duplicates from a list while replacing them with a specified value, ensuring data integrity and accuracy. By understanding and implementing this Python function, DevOps engineers can streamline processes, improve data quality, and enhance the overall performance of their systems. This knowledge is crucial for maintaining a well-organized and efficient DevOps workflow.


Monitoring and Logging

Monitoring and Logging skills are crucial for a DevOps Engineer as they help in tracking, troubleshooting, and optimizing the performance of a system. Monitoring involves continuously observing key metrics such as CPU usage, memory, and response times to ensure that the system is functioning properly. Logging involves recording important events and activities in the system for future reference and analysis. By having strong monitoring and logging skills, a DevOps Engineer can quickly identify and resolve issues, track system performance over time, and make informed decisions about system improvements and optimizations.


Coding knowledge

In the DevOps Engineer - Remove Duplicates with Replacement (Python Function) course, students will learn about coding knowledge and skills related to data manipulation, specifically removing duplicates from a list while replacing them with a specified value. This skill is important in DevOps as it helps in optimizing data processing and storage, ensuring data consistency, and improving overall system performance. Being able to efficiently remove duplicates with replacement in Python allows DevOps engineers to streamline data management processes, reduce errors, and enhance the reliability and scalability of their systems.

The DevOps Engineer - Remove Duplicates with Replacement (Python Function) test is created by a subject-matter expert

Testlify’s skill tests are designed by experienced SMEs (subject matter experts). We evaluate these experts based on specific metrics such as expertise, capability, and their market reputation. Prior to being published, each skill test is peer-reviewed by other experts and then calibrated based on insights derived from a significant number of test-takers who are well-versed in that skill area. Our inherent feedback systems and built-in algorithms enable our SMEs to refine our tests continually.

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