Deutsche Bank Interview Questions, Process, and Tips

A Dockerfile is a text document that contains all the commands a user could call on the command line to assemble an image.

• Use the FROM instruction to specify the base image

• Use the RUN instruction to execute commands in the container

• Use the COPY instruction to copy files from the host to the container

• Use the CMD instruction to specify the command to run when the container starts

Write a yaml file for deployment kind

• Use 'kind: Deployment' to specify the type of deployment

• Include metadata like name and labels

• Define spec with containers, image, ports, etc.

Use a shell script to extract alphabets from an alphanumeric word.

• Use the tr command to delete all non-alphabetic characters from the word.

• Store the result in an array of strings for multiple words.

• Example: word='abc123'; result=$(echo $word | tr -d '0-9'); echo $result

Networking in Kubernetes cluster involves communication between pods and services.

• Kubernetes uses a flat networking model where each pod gets its own IP address.

• Pods can communicate with each other using their IP addresses.

• Services act as a stable endpoint for pods, allowing them to communicate with each other.

• Kubernetes networking plugins like Calico, Flannel, and Cilium help manage networking within the cluster.

Security in Kubernetes cluster involves implementing RBAC, network policies, pod security policies, and regular security audits.

• Implement Role-Based Access Control (RBAC) to control access to resources within the cluster

• Use network policies to restrict traffic between pods and namespaces

• Enforce Pod Security Policies to define security settings for pods

• Regularly conduct security audits and vulnerability assessments to i

DB offers a challenging work environment, opportunities for growth, and a strong reputation in the industry.

• DB offers a challenging work environment that will allow me to further develop my skills and knowledge.

• DB provides opportunities for growth and advancement within the company, which is important for my career development.

• DB has a strong reputation in the industry for its innovative solutions and commitment to exc...read more

Logistic regression is preferred for interpretability and simplicity compared to random forests.

• Logistic regression is a linear model that is easier to interpret and implement compared to the complex ensemble method of random forests.

• Logistic regression is better suited for binary classification problems where the relationship between the independent variables and the outcome is linear.

• Random forests are more computati...read more

Classification models are used to predict the category or class of a new observation based on past data.

• Classification models assign new data points to a specific category or class based on patterns in the training data.

• Common classification algorithms include logistic regression, decision trees, random forests, and support vector machines.

• These models are evaluated based on metrics like accuracy, precision, recall, an...read more

Model performance can be assessed using various metrics such as accuracy, precision, recall, F1 score, ROC curve, and confusion matrix.

• Evaluate accuracy to measure overall correctness of the model's predictions.

• Use precision to assess the proportion of true positive predictions among all positive predictions.

• Consider recall to evaluate the proportion of true positive predictions among all actual positives.

• Calculate F1 ...read more

Assumptions of Linear Regression include linearity, independence, homoscedasticity, and normality.

• Linearity: The relationship between the independent and dependent variables is linear.

• Independence: The residuals are independent of each other.

• Homoscedasticity: The variance of the residuals is constant across all levels of the independent variables.

• Normality: The residuals are normally distributed.

• Example: If we are pred...read more