What does the term "uptime" refer to in the context of monitoring systems?
- Duration system is operational
- System responsiveness
- Time taken to deploy a feature
- Time taken to fix a bug
In the context of monitoring systems, "uptime" refers to the duration a system is operational without interruptions or downtime. It is a key metric used to measure the reliability and availability of a system, indicating how well it meets its operational goals.
What are some common methods used for multi-factor authentication?
- Biometric authentication, SMS codes, hardware tokens, and smart cards are common methods for multi-factor authentication.
- Username and password, security questions, fingerprint recognition, and facial recognition are commonly used multi-factor authentication methods.
- Two-factor authentication is the only method for securing multiple factors in the authentication process.
- Multi-factor authentication is not necessary for robust security.
Multi-factor authentication involves using at least two of the mentioned methods to enhance security. Options include biometrics, SMS codes, hardware tokens, and smart cards.
Which tag is used to define an unordered list in HTML?
The
- tag is used to define an unordered list in HTML. Items inside this tag are displayed with bullet points.
What is the primary role of a code reviewer in a pull request process?
- Debugging code
- Ensuring code quality
- Managing project timelines
- Writing new code
The primary role of a code reviewer in a pull request process is to ensure code quality. Code reviewers evaluate proposed changes, identify potential issues, provide feedback, and ensure that the code adheres to coding standards and best practices before it is merged into the main codebase.
What are some common tools used for testing infrastructure as code?
- All of the above
- Ansible
- Packer
- Terraform
Common tools for testing Infrastructure as Code include Terraform, Ansible, and Packer. These tools enable developers to automate and test the provisioning and configuration of infrastructure, ensuring reliability and efficiency.
Kubernetes enables _______ container orchestration, providing tools for deploying, scaling, and managing containerized applications.
- Automated
- Centralized
- Dynamic
- Efficient
Kubernetes enables automated container orchestration. It automates the deployment, scaling, and management of containerized applications, allowing for efficient and scalable operations.
What is the first step in the TDD cycle?
- Refactor code
- Run all tests
- Write a failing test
- Write production code
The first step in the Test-Driven Development (TDD) cycle is to write a failing test. This ensures that you start by defining the expected behavior before writing the actual code.
Which tool is primarily used for container orchestration in Kubernetes?
- Ansible
- Docker Compose
- Docker Swarm
- Kubernetes
Kubernetes is the primary tool used for container orchestration in the context of Docker containers. It automates the deployment, scaling, and management of containerized applications, providing a robust and scalable solution for container orchestration.
You have a microservices architecture with multiple Docker containers. How would you ensure high availability and fault tolerance using Kubernetes?
- Implement Docker Swarm for container orchestration
- Manually restart containers in case of failure
- Rely on the default settings for automatic high availability
- Use Kubernetes Deployments with multiple replicas
To ensure high availability and fault tolerance in a microservices architecture with Docker containers, Kubernetes Deployments are used. They allow you to define and manage multiple replicas of your application, ensuring that it runs across multiple nodes, minimizing downtime and increasing resilience.
What is the primary purpose of database normalization?
- To create complex queries
- To increase data redundancy and improve data integrity
- To reduce data redundancy and improve data integrity
- To speed up data retrieval
The primary purpose of database normalization is to reduce data redundancy and improve data integrity. It involves organizing data in a way that minimizes duplication and dependency.
What is one potential risk associated with live data migration?
- Data Consistency Issues
- Data Corruption
- Data Duplication
- Downtime
One potential risk associated with live data migration is the possibility of data corruption. During the migration process, there is a chance that data may become corrupt or incomplete, leading to inconsistencies and potential issues in the new system. This risk underscores the importance of thorough planning and testing to minimize such occurrences.