Practice Data Analytics Languages Questions and Answers

• Which of the following features in Power BI allows for dynamically filtering data across multiple visuals with a single control element?
• A data analyst is tasked with improving operational efficiency by examining employee performance metrics and identifying bottlenecks. Which of the followin...
• In the context of the data analysis process, what is the main purpose of the "modeling" stage?
• When identifying business problems, what is the first step a data analyst should take to ensure clarity and effectiveness in solving the problem?
• Which of the following methods is most commonly used during data wrangling to handle missing values in a dataset?
• What is the main advantage of using data storytelling in presenting data-driven insights?
• Which of the following statements correctly differentiates between continuous and categorical data?
• Which of the following is an example of semi-structured data ?
• What is the difference between samples and populations in data analysis?
• What is the primary difference between Big Data and traditional data ?
• Why is metadata crucial in the management of data?
• Why is sampling commonly used in data analysis, especially when dealing with large datasets?
• Which of the following best differentiates random sampling from non-random sampling techniques?
• Which of the following sampling techniques is most suitable when the population is divided into distinct subgroups, and it is important to ensure each subg...
• Which of the following strategies is most effective in avoiding selection bias when choosing a sample for analysis?
• Which of the following is not a measure of central tendency?
• Which of the following best describes the seasonal component in time series data?
• What is the primary advantage of using the ARIMA (AutoRegressive Integrated Moving Average) model for forecasting time series data?
• Which of the following is the correct decomposition of time series data into its components?
• In the context of time series analysis, the Dickey-Fuller test is used to:
• Which of the following functions in Excel is used to combine data from multiple columns into one?
• A financial organization is aiming to reduce operational costs by analyzing transactional data to identify inefficiencies. Which of the following roles sho...
• During the data analysis process, which of the following steps is primarily focused on removing inaccuracies and ensuring the dataset's reliability?
• To help a retail business increase its conversion rate, a data analyst should start by defining which of the following metrics?
• Which of the following techniques is most suitable for handling and organizing an unstructured dataset with textual data?
• A data analyst has generated insights on customer retention trends. To effectively communicate these insights, which of the following techniques would be m...
• A data analyst at a bank is tasked with developing a credit scoring model to assess loan applicants' eligibility. Which of the following statistical method...
• A hospital data analyst is tasked with building a model to predict patient readmission rates based on historical data. Which method should the analyst prio...
• An e-commerce company wants to understand the trend of holiday season sales over the past decade to forecast future sales. Which analysis method should the...
• In developing a fraud detection model for online transactions, a data analyst should use a technique capable of identifying anomalous patterns. Which of th...
• A retailer wants to segment its customers to optimize targeted marketing campaigns. Which of the following approaches would be most effective for customer ...
• A company wants to analyze customer reviews by categorizing them as “Positive,” “Neutral,” or “Negative.” What type of data are these categorie...
• When dealing with data from a social media platform that includes posts, images, and metadata, what type of data format is this dataset classified as?
• Which of the following is an example of an independent variable in a data analysis model that predicts employee productivity based on training hours?
• Which of the following statements best describes the primary difference between big data and traditional data?
• In data management, what role does metadata play when working with a large dataset of customer transactions?
• Which of the following is the primary benefit of using APIs over web scraping for data collection from a website?
• In data cleaning, which technique is most effective in handling outliers in a dataset that could skew analysis?
• When integrating multiple datasets, which approach helps resolve inconsistencies and create uniformity across all data sources?
• Which data transformation technique would be best for converting categorical variables, such as “Gender” (Male, Female), into a format usable in machin...