20+ Pg India Logistics Interview Questions and Answers

To troubleshoot a dying docker container, we can use logs, inspect the container, and check resource usage.

• Check container logs using 'docker logs ' command

• Inspect the container using 'docker inspect ' command to check its status and configuration

• Check resource usage using 'docker stats ' command to see if it's running out of memory or CPU

• Restart the container using 'docker restart ' command if necessary

Use AWS CLI to sync Linux logs to S3 bucket

• Install AWS CLI on the Linux machine

• Create an S3 bucket and configure IAM role with S3 permissions

• Use AWS CLI command 'aws s3 sync' to sync logs to S3 bucket

• Schedule a cron job to run the backup regularly

Python basics include list comprehensions, decorators, and object-oriented programming principles.

• List comprehensions provide a concise way to create lists in Python. Example: squares = [x**2 for x in range(10)]

• Decorators are functions that modify the behavior of other functions. Example: @my_decorator def my_function():

• Object-oriented programming principles in Python involve classes, objects, inheritance, and polymorphism.

NumPy and Pandas are used to manipulate data in Python, with NumPy focusing on numerical operations and Pandas on data manipulation and analysis.

• NumPy is used for numerical operations like array manipulation, mathematical functions, and linear algebra.

• Pandas is used for data manipulation tasks like data cleaning, merging, reshaping, and analysis.

• NumPy arrays can be easily converted to Pandas DataFrames for more advanced data manipulation and analysis.

• Example: Using NumPy to p...read more

Developed a sentiment analysis model using natural language processing techniques.

• Used Python and libraries like NLTK and Scikit-learn for data preprocessing and model building

• Collected and cleaned a dataset of customer reviews from an e-commerce website

• Implemented a bag-of-words model and trained a logistic regression classifier

• Evaluated the model's performance using metrics like accuracy, precision, and recall

Yes, I have experience with cloud computing and would approach building the architecture by leveraging scalable cloud services like AWS or Azure.

• Utilize cloud services like AWS or Azure for scalability and flexibility

• Implement containerization using Docker for easy deployment and management

• Use serverless computing for cost efficiency and automatic scaling

• Leverage managed AI services like AWS SageMaker or Azure Machine Learning for AI/ML tasks

To give executable permissions of a file only to the user, use the chmod command with the u+x option.

• Open the terminal and navigate to the directory where the file is located.

• Use the command 'chmod u+x filename' to give executable permissions to the user only.

• Verify the permissions using the 'ls -l' command.

Deep learning is a subset of machine learning that uses neural networks to learn from data. Neural networks are a set of algorithms modeled after the human brain.

• Deep learning is a subset of machine learning that uses neural networks to learn from data

• Neural networks are a set of algorithms modeled after the human brain

• Types of neural networks include feedforward neural networks, convolutional neural networks, recurrent neural networks, etc.

• Activation functions are used in ne...read more

NAT gateway is used to provide internet access to private subnets while internet gateway is used to provide internet access to public subnets.

• NAT gateway is used for outbound traffic while internet gateway is used for inbound and outbound traffic.

• NAT gateway is associated with a private subnet while internet gateway is associated with a public subnet.

• NAT gateway performs network address translation while internet gateway does not.

• Example: NAT gateway is used to allow EC2 inst...read more

Machine learning is a subset of artificial intelligence that involves the development of algorithms and models that enable computers to learn from and make predictions or decisions based on data.

• Machine learning is a subset of artificial intelligence that focuses on the development of algorithms and models that allow computers to learn from and make predictions or decisions based on data.

• There are three main types of machine learning: supervised learning, unsupervised learnin...read more

Autoscaling was implemented based on CPU utilization and network traffic.

• Autoscaling was implemented to ensure that the application can handle sudden spikes in traffic.

• CPU utilization and network traffic were used as metrics to trigger autoscaling.

• The minimum and maximum number of instances were set based on the expected traffic.

• Load testing was done to determine the optimal scaling thresholds.

• Autoscaling policies were set to gradually add or remove instances to avoid sudden ...read more

To build and push a docker image to ECR, we need to create a Dockerfile, build the image, tag it, login to ECR, push the image to ECR.

• Create a Dockerfile with necessary configurations

• Build the image using docker build command

• Tag the image using docker tag command

• Login to ECR using AWS CLI command aws ecr get-login-password

• Push the image to ECR using docker push command

Yes, I have prior knowledge of cloud computing.

• I have experience working with cloud platforms such as AWS, Azure, and Google Cloud

• I have deployed machine learning models on cloud servers for scalability and flexibility

• I am familiar with cloud services like EC2, S3, and Lambda functions

Jenkins and Docker can be integrated using Jenkins Docker plugin.

• Install Docker plugin in Jenkins

• Configure Docker Cloud in Jenkins

• Create a Jenkins pipeline job and specify Docker image to be used

• Use Docker commands in Jenkinsfile to build and push Docker images

Autoscaling in AWS automatically adjusts the number of EC2 instances in a group based on demand.

• Autoscaling groups are created and configured with minimum and maximum number of instances.

• Scaling policies can be defined to adjust the number of instances based on metrics like CPU utilization or network traffic.

• Autoscaling can be triggered manually or automatically based on CloudWatch alarms or scheduled events.

• Autoscaling can also integrate with Elastic Load Balancing to distri...read more

Generative AI refers to AI models that can generate new content, such as images, text, or music. LLM stands for Large Language Models, which are AI models trained on vast amounts of text data.

• Generative AI can be used to create realistic images, generate human-like text, or compose music.

• LLMs like GPT-3 are trained on large datasets to understand and generate human language.

• Generative AI has applications in creative fields, chatbots, and content generation.

AWS Config is a service that provides a detailed inventory of AWS resources and their configuration history.

• AWS Config continuously monitors and records changes to resources and their configurations.

• It provides a detailed view of resource inventory, configuration history, and configuration change notifications.

• It helps in compliance auditing, security analysis, and resource change tracking.

• AWS Config rules can be used to evaluate resource configurations against best practices...read more

A launch template is a pre-configured set of Amazon Machine Images (AMIs), instance types, and other settings used to launch EC2 instances.

• Launch templates simplify the process of launching EC2 instances by providing a pre-configured set of settings.

• They can be used to launch instances in an Auto Scaling group or individually.

• Launch templates can be versioned and updated to reflect changes in the desired configuration.

• They can also be shared across AWS accounts and regions.

• La...read more

Command to find disk utilization in Linux?

• Use 'df' command to display disk space utilization

• Use '-h' option to display sizes in human-readable format

• Use '-T' option to display file system type

• Use '-x' option to exclude certain file system types

• Example: 'df -hT -x tmpfs -x devtmpfs'

A NAT gateway is a managed network address translation service provided by AWS.

• It allows instances in a private subnet to connect to the internet or other AWS services.

• It provides better availability and bandwidth than a NAT instance.

• It automatically scales to meet traffic demands.

• It can be used to reduce the attack surface of instances in a private subnet.

• It can be used to access resources in a VPC from a remote network.

A combination of digital marketing avenues including social media, content marketing, and email campaigns will work best for Rapyder.

• Utilize social media platforms like LinkedIn, Twitter, and Facebook to reach target audience

• Implement content marketing strategies such as blogging, whitepapers, and case studies to showcase expertise

• Run targeted email campaigns to nurture leads and drive conversions

CI/CD is the process of continuous integration and continuous delivery/deployment.

• In our project, we use Jenkins as our CI/CD tool.

• Every time a developer pushes code to the repository, Jenkins automatically builds and tests the code.

• If the build and tests pass, Jenkins deploys the code to a staging environment for further testing.

• Once the code is approved in staging, Jenkins deploys it to production.

• This process ensures that code changes are thoroughly tested and deployed qui...read more

EC2 instance is a virtual server in Amazon Web Services (AWS) cloud computing platform.

• EC2 stands for Elastic Compute Cloud

• Allows users to rent virtual servers on which to run their own applications

• Users can choose instance type, operating system, storage, and networking configuration

• Can be easily scaled up or down based on demand

• Example: t2.micro, m5.large, c5.xlarge

Load balancing is the process of distributing network traffic across multiple servers to ensure optimal resource utilization, reliability, and performance.

• Improves scalability by distributing incoming network traffic across multiple servers

• Enhances reliability by ensuring no single server is overwhelmed with traffic

• Optimizes performance by directing requests to the server with the most available resources

• Commonly used in web servers, application servers, and database servers

Auto scaling is a cloud computing feature that automatically adjusts the number of compute resources based on current demand.

• Automatically adjusts the number of servers or instances based on traffic or workload

• Helps maintain performance and optimize costs by scaling up or down as needed

• Commonly used in cloud environments like AWS Auto Scaling or Google Cloud Autoscaler

Route 53 is a scalable and highly available Domain Name System (DNS) web service provided by AWS.

• Route 53 is used to route internet traffic to resources like EC2 instances, S3 buckets, and load balancers.

• It can be used to register domain names and manage their DNS records.

• Route 53 offers health checks to monitor the health of resources and failover routing for high availability.

• It supports various routing policies like weighted, latency-based, geolocation, and failover routin...read more