Prepare and pass exam with our CIW 1D0-622 training material, here you will achieve your dream easily With TrainingQuiz!
Updated: Oct 25, 2026
No. of Questions: 58 Questions & Answers with Testing Engine
Download Limit: Unlimited
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| Certification Vendor: | CIW |
|---|---|
| Exam Name: | CIW Data Analyst |
| Exam Number: | 1D0-622 |
| Passing Score: | 75% |
| Exam Duration: | 75 minutes |
| Available Languages: | English |
| Related Certifications: | CIW Site Development Associate CIW Advanced HTML5 & CSS3 Specialist CIW Internet Business Associate |
| Exam Price: | $175 USD |
| Real Exam Qty: | 48 |
| Exam Format: | Multiple answer, Multiple choice |
| Certificate Validity Period: | 3 years |
| Recommended Training: | CIW Official Data Analyst Courseware |
| Exam Registration: | CIW Official Store PSI Exams |
| Sample Questions: | CIW 1D0-622 Sample Questions |
| Exam Way: | Online remote proctored or onsite at PSI test centers |
| Pre Condition: | No mandatory prerequisites; recommended familiarity with spreadsheets, databases, and basic business concepts; equivalent knowledge or CIW entry-level certifications helpful |
| Official Syllabus URL: | https://ciwcertified.com/certifications/data-analyst/ |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Working with Data Sources | 20% | - Data integration and transformation - Extracting data from databases, web, and APIs - Data cleaning and preparation - Structured and unstructured data sources |
| Topic 2: Analyzing and Reporting Data | 25% | - Identifying trends, patterns, and correlations - Presenting data insights for decision-making - Designing effective reports and dashboards - Statistical analysis and interpretation |
| Topic 3: Fundamentals of Data Analysis | 20% | - Data types and structures - Data lifecycle management - Data quality and integrity - Data governance and policies |
| Topic 4: Tools for Capturing and Analyzing Data | 20% | - Open-source and commercial analysis tools - Data visualization tools - Spreadsheet tools - Using tools for data mining and discovery |
| Topic 5: Introduction to Big Data | 15% | - Cloud-based data environments - Big Data storage and processing - Big Data characteristics and concepts |
What is the purpose of Customer Relationship Management (CRM)?
Correct Answer: C 🗳️
How can KNIME be used in data analysis?
Correct Answer: A 🗳️
Which software tool is known for its capabilities in data cleansing and transformation?
Correct Answer: B 🗳️
How can analyzing network traffic data contribute to content planning?
Correct Answer: D 🗳️
What are the benefits of centralizing an organization's data in one application for content planning?
Correct Answer: D 🗳️
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