Find Interview Questions for Crest data systems

Right Answer:
The different types of data analysis are:

1. Descriptive Analysis
2. Diagnostic Analysis
3. Predictive Analysis
4. Prescriptive Analysis
5. Exploratory Analysis

Right Answer:
1. Remove duplicates
2. Handle missing values
3. Correct inconsistencies
4. Standardize formats
5. Filter out irrelevant data
6. Validate data accuracy
7. Normalize data if necessary

Right Answer:
Descriptive statistics summarize and describe the main features of a dataset, using measures like mean, median, mode, and standard deviation. Inferential statistics use sample data to make predictions or inferences about a larger population, often employing techniques like hypothesis testing and confidence intervals.

Right Answer:
Clustering in data analysis is the process of grouping similar data points together based on their characteristics, without prior labels. It is an unsupervised learning technique. In contrast, classification involves assigning predefined labels to data points based on their features, using a supervised learning approach.

Right Answer:
The purpose of feature engineering in data analysis is to create, modify, or select variables (features) that improve the performance of machine learning models by making the data more relevant and informative for the analysis.

Right Answer:
You can generate test data with no input data by using data generation tools or scripts that create random data based on predefined rules or patterns, such as using functions to generate random numbers, dates, or strings. Additionally, you can create sample datasets based on common scenarios or use existing datasets as templates to create variations.

Right Answer:
The RTE (Runtime Environment) handles client-server communication by using a defined interface that allows client applications to request services from server applications. It manages the communication through the use of ports, where the client sends requests via a request port and the server responds through a response port. The RTE ensures that the data is correctly marshaled and unmarshaled between the client and server, facilitating seamless interaction while adhering to the AUTOSAR standards.