STT Global Data Centres India Interview Questions and Answers

Cluster paragraphs based on readability using natural language processing techniques.

• Use natural language processing techniques to extract features like sentence length, word complexity, and readability scores.

• Apply clustering algorithms like K-means or hierarchical clustering to group paragraphs with similar readability.

• Evaluate the clusters using metrics like silhouette score or coherence to determine the optimal number of clusters.

• Consider using pre-trained language models...read more

Recall, precision, and F-score are evaluation metrics used in classification tasks to measure the performance of a model.

• Recall (also known as sensitivity) measures the ability of a model to find all the relevant cases within a dataset. It is calculated as the ratio of true positives to the sum of true positives and false negatives.

• Precision measures the proportion of relevant cases among the retrieved cases. It is calculated as the ratio of true positives to the sum of true ...read more

Sort positive integers in an array

• Filter out negative integers from the array

• Use Array.sort() method to sort the remaining positive integers

• Return the sorted array

BERT is trained using a process called masked language model (MLM) and next sentence prediction (NSP).

• BERT is pre-trained on a large corpus of text data, such as Wikipedia articles.

• During training, BERT uses a MLM objective where a certain percentage of the input tokens are masked and the model is trained to predict those masked tokens.

• BERT also uses a NSP objective where it learns to predict whether two sentences in a pair are consecutive or not.

• The training process involves...read more

API calls in React Native involve using fetch or axios to communicate with a server and retrieve data.

• Use fetch or axios to make API calls in React Native

• Handle the response using promises or async/await

• Parse the data received from the API call and update the UI accordingly