CIW 1D0 - 622 Certification: Exam Details, Syllabus and Questions CIW 1D0 - 622 Exam www. EduSum .com Get complete detail o n 1D0 - 622 exam guide to crack CIW Data Analyst. You can collect all information on 1D0 - 622 tutorial, practice test, books, study material, exam questions, and syllabus. Firm your knowledge on CIW Data Analyst and get ready to crack 1D0 - 622 certification. E xplore all information on 1D0 - 622 exam with number of questions, passing percentage and time duration to complete test. WWW.EDUSUM.COM PDF 1D0-622: CIW Data Analyst 1 Introduction to 1D0-622 CIW Data Analyst Exam The CIW 1D0-622 Exam is challenging and thorough preparation is essential for success. This exam study guide is designed to help you prepare for the Data Analyst certification exam. It contains a detailed list of the topics covered on the Professional exam, as well as a detailed list of preparation resources. This study guide for the CIW Data Analyst will help guide you through the study process for your certification. 1D0-622 CIW Data Analyst Exam Summary ● Exam Name: CIW Data Analyst ● Exam Code: 1D0-622 ● Exam Price: $150 (USD) ● Duration: 75 mins ● Number of Questions: 48 ● Passing Score: 75% ● Schedule Exam: Pearson VUE ● Sample Questions: CIW Data Analyst Sample Questions ● Recommended Practice: CIW 1D0-622 Certification Practice Exam WWW.EDUSUM.COM PDF 1D0-622: CIW Data Analyst 2 Exam Syllabus: 1D0-622 CIW Data Analyst Topic Details Fundamentals of Data Analysis - Describe the importance of obtaining quality source data, including capturing, using and analyzing institutional knowledge (i.e., tribal knowledge). - Describe the differences in various types of data structures including: files, lists, arrays, records, trees and tables. - Explain the benefits of centralizing an organization's data in one application (e.g., Salesforce, NetSuite). - Compare and contrast structured (e.g. databases) and unstructured data (e.g. audio, video, social media feeds, etc.), and exp lain how to rapidly analyze both to maximize insight through analysis. - Identify different types of data, including open, public, administrative and research data and sources of business data, including mobile platforms, traditional e - commerce sites, soci al media, sales, accounting, marketing, customers and partners. - Explain the fundamentals of Search Engine Optimization (SEO), including analyzing for multiple channels (e.g., email, Twitter, Facebook, LinkedIn and offline channels). - Explain the data li fe cycle of an information system: from creation and initial storage to being obsolete and deleted. - Identify local and international data protection and data privacy laws and regulations, how to maintain compliance within data collection and analysis inf rastructure, and why compliance is necessary. - Describe data analysis routine steps including: problem hypothesis, what to measure, collecting data, cleansing data, model data, visualize data, analyze data, interpret results and documenting and communicat ing results. - Explain why the key to effective data analysis is asking the right questions in the requirements provides answers to business problems, and not just the data itself. Introduction to Big Data - Describe the term big data. - Explain the i mportance of IT data management, including ethics and security. - Describe the various IT business environments, data architecture and the nature of working with cloud - based data, including rules, policies, standards and models of how data is used, stored and managed. - Explain how to work with cloud - native data. - Explain how to work with in - house data. - Determine when it makes sense to migrate in - house data WWW.EDUSUM.COM PDF 1D0-622: CIW Data Analyst 3 Topic Details to the cloud and how to do it. - Describe typical databases used for data analysis, including Orac le, MS - SQL, MySQL and Access. - Given a scenario, analyze data to make business decisions such as building a case for change; exploring, generating, and testing business assumptions; and using historical data to analyze trends. - Explain how minor data err ors can cause incorrect results for data analysis. - Explain how defining an organizational strategy, improving data quality and applying statistical programming in preparing data directly benefit the data analytics and improve business decisions. - Descri be how to implement a database from a data model and why database maintenance and backup is necessary. Working with Data Sources - Explain how to obtain data by working with various organization departments, including customer service, marketing and sales. - Describe the purpose of Customer Relationship Management (CRM). - Given a scenario, determine how to integrate CRM and custome r service. - Explain how to obtain data from email and user forums. - Describe how to access and obtain data from knowledge bases, including Facebook, Twitter, LinkedIn, enterprise resource management systems and accounting sources. - Determine how to obta in data from CRM and business - to - business frameworks. - Given a scenario, analyze transaction, payment and inventory data from various data sources. - Given a scenario, make business decisions using multiple data sources. Tools for Capturing and Analyz ing Data - Describe various tools to capture data required for data analysis, including Tableau Public, Google Fusion Tables and OpenRefine. - Explain how to capture and analyze data from Hadoop - based environments. - Describe how the R Project enables dat a analysts to statistically explore data sets and create graphical displays. - Describe additional software for data capture and analysis, including Rapid Miner and KNIME. Analyzing and Reporting Data - Analyze network traffic from typical sources, su ch as Web logs, marketing, technical support, customer relations and sales. WWW.EDUSUM.COM PDF 1D0-622: CIW Data Analyst 4 Topic Details - Explain how the nature of data volumes being processed through data integrations using programming approaches make data analysis more efficient. - Describe how proper testing is essential to ensure unified data sets are correct, complete and up to date. - Explain how programming languages for statistical computing can be applied to data integration activities for improved speed, quality and data integration for better analysis. - Given a scenario, determine relationships between organizational efforts and business outcomes, such as the progress of efforts against business goals. - Given a scenario, identify the best methods to capture and report specific data. - Create a dashboard for data analysis and reporting, including executive summaries. - Create reports and charts for reporting data using office tools, including word processers, spreadsheets, databases, Web - based software. - Create presentations for reporting data using tools such as PowerPoint and Webcasts. - Create a list of Frequently Asked Questions (FAQ) to accompany a presentation. - Explain the need for ethics in presenting data to avoid personal or organizational bias. - Describe how ethics are a vital part of the Data Analyst responsibilities. CIW 1D0-622 Certification Sample Questions and Answers To make you familiar with the CIW Data Analyst (1D0-622) certification exam structure, we have prepared this sample question set. We suggest you to try our Sample Questions for Data Analyst 1D0-622 Certification to test your understanding of CIW 1D0-622 process with real CIW certification exam environment. 1D0-622 CIW Data Analyst Sample Questions:- 01. Why is compliance with data protection and privacy laws necessary in content planning? a) To maintain trust and customer confidence b) To ensure data accuracy WWW.EDUSUM.COM PDF 1D0-622: CIW Data Analyst 5 c) To increase data storage capacity d) To improve data analysis speed 02. Which of the following tools is best suited for analyzing and visualizing data from different sources in a collaborative environment? a) Google Fusion Tables b) OpenRefine c) Tableau Public d) Rapid Miner 03. How does statistical programming contribute to data preparation for analysis? a) It helps in data visualization and reporting b) It automates the data cleansing process c) It generates random data samples for analysis d) It applies statistical techniques to transform and manipulate data 04. How can data be obtained from CRM and business-to-business frameworks? a) By integrating data from CRM and B2B systems b) By conducting market research surveys c) By analyzing financial reports and statements d) By monitoring competitor activities and industry trends 05. Which of the following best describes unstructured data in the context of content planning? a) Data stored in databases b) Audio and video files c) Mobile platform data d) Sales and marketing data 06. Among the following data structures, which one is most suitable for organizing data in a tabular format? a) Files b) Arrays c) Trees d) Tables 07. Why is it important for content planners to consider ethical principles in their decision-making processes? a) Ethics have no relevance in content planning b) Ethical principles hinder creativity in content planning WWW.EDUSUM.COM PDF 1D0-622: CIW Data Analyst 6 c) It helps in building trust with the audience and maintaining a positive brand image d) Content planners are not responsible for ethical considerations 08. Which type of data is sourced from social media, sales, accounting, and marketing for content planning? a) Open data b) Public data c) Business data d) Administrative data 09. What is the purpose of Customer Relationship Management (CRM)? a) To manage financial transactions b) To track inventory levels c) To optimize supply chain operations d) To enhance customer satisfaction and retention 10. How can data be accessed and obtained from knowledge bases, including Facebook, Twitter, LinkedIn, enterprise resource management systems, and accounting sources? a) By conducting keyword searches on social media platforms b) By leveraging API integrations with the knowledge bases c) By outsourcing data collection tasks to a data analytics firm d) By analyzing customer feedback and reviews on online platforms Answers:- Answer 01:- a Answer 02:- c Answer 03:- d Answer 04:- a Answer 05:- b Answer 06:- d Answer 07:- c Answer 08:- c Answer 09:- d Answer 10:- b