www.certfun.com PDF Useful Study Guide & Exam Questions to Pass the DAF Exam EXIN Exam Here are all the necessary details to pass the DAF exam on your first attempt. Get rid of all your worries now and find the details regarding the syllabus, study guide, practice tests, books, and study materials in one place. Through the EXIN DAF certification preparation, you can become stronger on the syllabus domains, and getting the EXIN Data Analytics Foundation certification gets easy. Certfun.com Technologies and Software 1 www.certfun.com PDF How to Earn the EXIN DAF Data Analytics Foundation Certification on Your First Attempt? Earning the EXIN DAF certification is a dream for many candidates. But, the preparation journey feels difficult to many of them. Here we have gathered all the necessary details like the syllabus and essential DAF sample questions to get to the EXIN Data Analytics Foundation certification on the first attempt. Technologies and Software 1 www.certfun.com PDF DAF Technologies and Software Summary: Exam Name EXIN Data Analytics Foundation Exam Code DAF Exam Price $262 (USD) Duration 60 mins Number of Questions 40 Passing Score 65% Read more about the e-CF Books / Training Why get certified? How to get certified Schedule Exam Pearson VUE Sample Questions EXIN DAF Sample Questions Practice Exam EXIN DAF Certification Practice Exam Let’s Explore the EXIN DAF Exam Syllabus in Detail: Topic Details Weights Turning data into insights - 10% The candidate can… - explain concepts related to data analytics. - outline the steps in the process of data analysis. - describe risks in data analytics. The candidate can… Business intelligence - illustrate how business intelligence (BI) leads to (BI) business decisions. Concepts and the process 7.5% 2.5% Collecting, organizing, managing - 32.5% Data collection Storing data Variables The candidate can… - outline channels for collecting data. - explain ways to source public data. 10% - outline how to reach compliance with contemporary data laws. The candidate can… - distinguish between raw data, structured data, unstructured data, and big data. 12.5% - differentiate between types of databases. - outline the utility of distributed file systems. - describe the advantages of using cloud solutions. The candidate can… - distinguish between dependent and independent variables. 10% - explain the common types of variables. - distinguish between continuous and discrete variables. Technologies and Software 1 www.certfun.com Topic PDF Details Weights Cleaning - 7.5% Data scrubbing The candidate can… - describe methods for data scrubbing. - outline techniques for data scrubbing. - indicate the considerations for data retention. 7.5% Analyzing - 35% Statistics Data mining Machine learning Algorithms The candidate can… - explain what distinguishes descriptive statistics from 5% inferential statistics. The candidate can… 2.5% - explain data mining. The candidate can… - summarize ways of using machine learning. 10% - describe natural language processing (NLP). - describe key methods and techniques of NLP. The candidate can… - describe how data and algorithms relate to each other. - clarify how regression analysis can be used to describe patterns in the data. 17.5% - explain the use of classification models. - explain the use of cluster analysis. - explain what association analysis and sequence mining are and how they relate to each other. Visualizing - 15% Explanatory and exploratory Charts and plots Design and tools The candidate can… - describe explanatory and exploratory graphics. The candidate can… - illustrate types of charts. - illustrate types of plots. - illustrate the usage of heatmaps. The candidate can… - summarize the purpose of aesthetic design in data visualization. - recall visualization tools. Technologies and Software 2.5% 7.5% 5% 1 www.certfun.com PDF Experience the Actual Exam Structure with EXIN DAF Sample Questions: Before jumping into the actual exam, it is crucial to get familiar with the exam structure. For this purpose, we have designed real exam-like sample questions. Solving these questions is highly beneficial to getting an idea about the exam structure and question patterns. For more understanding of your preparation level, go through the DAF practice test questions. Find out the beneficial sample questions below - Answers for EXIN DAF Sample Questions 01. Why is aesthetic design important? a) It enhances machine learning techniques. b) It facilitates natural language processing (NLP). c) It focuses on regression analysis models. d) It improves the usability of data visualization. Answer: d 02. A task in natural language processing (NLP) involves identifying important entities mentioned in text, such as name, location, or an activity. Which NLP task is this? a) Class identification b) Named entity recognition c) Sentiment analysis d) Stemming Answer: b 03. To get a better insight of the prices of houses sold in different quarters of a city, a real-estate broker wants to use a heatmap. What does this heatmap show? a) A plan of the city with levels of house prices represented in colors b) A plan of the city with sold houses and the selling price per house c) A table with average house prices in the past year per quarter sorted per average price d) A table with prices of houses sold in the past year ordered by price Answer: a Technologies and Software 1 www.certfun.com PDF 04. What data visualization tool has the look and feel of Microsoft Excel? a) Data Wrapper b) Google Charts c) Power BI d) Tableau Answer: c 05. What is a key difference between association analysis and sequence mining? a) Association analysis applies the generalized sequential patterns (GSP) technique, while sequence mining applies Apriori. b) Association analysis disregards the order in which items appear, while sequence mining considers it. c) Association analysis uses a confidence level to aid decision-making, while sequence mining is supervised learning. d) Association analysis works better on large datasets, while sequence mining is best suited for small datasets. Answer: b 06. Which type of plot is used to display the spread and skewness of a dataset? a) Box plot b) Rug plot c) Scatterplot d) Violin plot Answer: a 07. In what case should descriptive analysis be used? a) When a data set cannot be analyzed easily b) When limited information is available c) When the retrieved data is very detailed d) When there are gaps in record keeping Technologies and Software Answer: c 1 www.certfun.com PDF 08. Why is it important to distinguish between discrete and continuous variables? a) Because it is important to define the conceptual data model b) Because it helps select the algorithms suitable for the variables c) Because only discrete variables can be aggregated with other variables d) Because relational databases can only store continuous variables Answer: b 09. A company has a large dataset of shirts sales. The staff wants to better understand the figures and the data analyst is considering whether cluster analysis could offer any insight. How does k-means clustering give a better understanding of the sales figures? a) By clustering data in predefined groupings b) By describing unexpected relationships between clusters c) By explaining the role of centroids d) By providing a new way of grouping customers Answer: d 10. Which graphic technique is typically used when delivering data to an external audience? a) Explanatory b) Expansionary c) Explicatory d) Exploratory Technologies and Software Answer: a 1
