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135+ Free ICDL Data Analytics Practice Questions

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Key Facts: ICDL Data Analytics Exam

36 questions

Official ICDL Data Analytics certification test length

ICDL Foundation standard module test specifications

45 minutes

Time allowed for Professional module certification tests

ICDL Foundation standard module test specifications

75% pass mark

Candidates need 27 out of 36 marks to pass

ICDL Foundation standard module test specifications

4 categories

Concepts & Statistics; Preparation; Summarisation; Visualisation

ICDL Data Analytics – Foundation Syllabus 1.0

Syllabus 1.0

Current Data Analytics Foundation module syllabus on ICDL Global

ICDL Data Analytics – Foundation Syllabus 1.0 PDF

VLOOKUP & IF

Core spreadsheet validation functions in the preparation category

ICDL Data Analytics – Foundation Syllabus 1.0 section 2.1

QQI mapped

ICDL certification aligns to Ireland's National Framework of Qualifications for education progression

Quality and Qualifications Ireland / ICDL Ireland

100

Free original practice MCQs on OpenExamPrep across all syllabus categories

OpenExamPrep

ICDL Data Analytics is an Irish ICS/ICDL Ireland Professional module testing spreadsheet analytics—statistics, data cleansing, pivot tables, and dashboards—at Accredited Test Centres nationwide. The live exam has 36 questions in 45 minutes; you need 75% (27/36) to pass. This free 100-question bank gives extra multiple-choice practice across all four official syllabus categories.

Sample ICDL Data Analytics Practice Questions

Try these sample questions to test your ICDL Data Analytics exam readiness. Each question includes a detailed explanation. Start the interactive quiz above for the full 135+ question experience with AI tutoring.

1A Cork retail chain reviews last year's store revenue totals to compile an annual performance report. Which analytics type does this represent?
A.Diagnostic analytics
B.Descriptive analytics
C.Predictive analytics
D.Prescriptive analytics
Explanation: Descriptive analytics summarises historical data to show what already happened—totals, averages, and counts. Diagnostic analytics explains why events occurred; predictive and prescriptive analytics focus on future forecasts and recommended actions.
2An operations manager in Dublin asks, 'Which supplier delays most often caused stock-outs last quarter?' Which analytics approach best fits?
A.Predictive analytics
B.Descriptive analytics
C.Diagnostic analytics
D.Quantitative data collection only
Explanation: Diagnostic analytics answers 'why did it happen?' by drilling into historical data to find root causes. Descriptive analytics would show that stock-outs occurred but not explain supplier-related causes.
3A Galway energy firm models next winter's electricity demand from five years of meter readings. Which analytics category is this?
A.Qualitative interviewing
B.Descriptive analytics
C.Diagnostic analytics
D.Predictive analytics
Explanation: Predictive analytics uses historical patterns to estimate future outcomes—in this case forecast demand. Descriptive and diagnostic analytics look backward; qualitative interviewing is a research method, not a forecasting analytics type.
4A logistics planner uses optimisation software to recommend the cheapest delivery route for tomorrow's shipments. Which analytics type applies?
A.Descriptive analytics
B.Prescriptive analytics
C.Diagnostic analytics
D.Exploratory data visualisation only
Explanation: Prescriptive analytics recommends specific actions—here an optimal route—based on data and models. Descriptive and diagnostic analytics do not prescribe operational decisions.
5Which data type in the ICDL Data Analytics syllabus is measured on a numerical scale and can be counted or ordered?
A.Unstructured narrative data only
B.Qualitative data
C.Quantitative data
D.Metadata labels without values
Explanation: Quantitative data represents measurable numeric quantities—counts, amounts, or continuous measurements. Qualitative data describes categories or attributes rather than numeric scales.
6A survey records product colour choices: Red, Blue, Green, or Yellow. How should this variable be classified?
A.Time-series financial data
B.Quantitative continuous data
C.Quantitative discrete count data
D.Qualitative (categorical) data
Explanation: Colour names are non-numeric categories—qualitative (categorical) data. They cannot be meaningfully averaged or subtracted like continuous measurements.
7According to the ICDL Data Analytics Foundation syllabus, which business benefit is gained when analytics identifies recurring patterns in customer behaviour?
A.Eliminates the need for any data protection compliance
B.Supports informed decision making by revealing trends
C.Guarantees that every forecast will be 100% accurate
D.Replaces the requirement to document data sources
Explanation: The syllabus lists business benefits including identifying patterns and trends to support decision making. Analytics does not remove legal obligations or guarantee perfect forecasts.
8In the ICDL data analysis process, during which phase does an analyst collect initial data and assess its quality and relevance?
A.Deployment
B.Business Understanding
C.Data Understanding
D.Evaluation
Explanation: Data Understanding follows Business Understanding and focuses on exploring available data, checking quality, and forming initial insights. Deployment delivers the solution; Evaluation assesses whether business goals were met.
9Which data analysis phase includes activities such as cleaning, transforming, and integrating data into a final analysis-ready dataset?
A.Evaluation
B.Business Understanding
C.Data Understanding
D.Data Preparation
Explanation: Data Preparation covers constructing the final dataset through cleansing, integration, and formatting. Business and Data Understanding occur earlier; Evaluation reviews results later.
10An Irish marketing team plans to share customer survey results externally. Which data protection practice aligns with the ICDL syllabus and GDPR?
A.Publish full names and email addresses to prove survey authenticity
B.Anonymise personal data where possible before publishing aggregated findings
C.Ignore consent because aggregated charts cannot identify anyone
D.Store raw personal data indefinitely without a retention policy
Explanation: The ICDL syllabus requires recognising data protection considerations including anonymising personal data when possible and complying with applicable regulations such as GDPR in Ireland.

About the ICDL Data Analytics Exam

The ICDL Data Analytics – Foundation module certifies essential skills for analysing statistics, preparing data sets, summarising with pivot tables, and creating data visualisations. Offered in Ireland through ICDL Accredited Test Centres administered by the Irish Computer Society, it covers analytics concepts and statistical measures, data import and cleansing (duplicates, formatting, VLOOKUP, IF, text functions), pivot aggregation and grouping, and report/dashboard design in tools such as Excel and Power BI. The official certification test contains 36 questions over 45 minutes with a pass mark of 75% (27/36), aligned to ICDL Data Analytics – Foundation Syllabus 1.0.

Assessment

Single automated ICDL Professional module certification test with 36 multiple-choice questions and practical tasks worth one mark each, delivered in a 45-minute session at an Accredited Test Centre using spreadsheet and data-visualisation applications.

Time Limit

45 minutes for the official certification test.

Passing Score

75% — candidates must score at least 27 out of 36 marks to pass, per ICDL Foundation standard module test specifications.

Exam Fee

ICDL Ireland does not publish a single national module fee. Training, testing, and Skills Card pricing are set by individual ICDL Accredited Test Centres across Ireland; contact your local centre for the current module price. (Irish Computer Society (ICS) / ICDL Ireland, operating under the international ICDL Foundation digital skills certification programme)

ICDL Data Analytics Exam Content Outline

20%

Concepts and Statistical Analysis

Analytics types and business benefits; data analysis phases; qualitative vs quantitative data; populations and samples; mean, median, mode; quartiles, variance, range; GDPR and data protection when analysing personal data.

30%

Data Set Preparation

Import CSV, spreadsheets, website tables, and database tables; remove duplicates; cleanse with TRIM and date standardisation; sort and filter; IF, AND, OR; VLOOKUP; LEFT, RIGHT, LEN, MID, FIND; format as table; use table slicers.

25%

Data Set Summarisation

Pivot Table layout (Filters, Columns, Rows, Values); SUM, COUNT, AVERAGE, MAX, MIN; Show Values As (% , difference, running total, rank); group and ungroup; report filter; slicers and timelines; pivot charts.

25%

Data Visualisation

Dashboard and report concepts; KPIs and maps; column, bar, line, pie charts; clean design and audience focus; import to BI tool; tables; conditional formatting and data bars; visual-level filters; publish and share via link.

How to Pass the ICDL Data Analytics Exam

What You Need to Know

  • Passing score: 75% — candidates must score at least 27 out of 36 marks to pass, per ICDL Foundation standard module test specifications.
  • Assessment: Single automated ICDL Professional module certification test with 36 multiple-choice questions and practical tasks worth one mark each, delivered in a 45-minute session at an Accredited Test Centre using spreadsheet and data-visualisation applications.
  • Time limit: 45 minutes for the official certification test.
  • Exam fee: ICDL Ireland does not publish a single national module fee. Training, testing, and Skills Card pricing are set by individual ICDL Accredited Test Centres across Ireland; contact your local centre for the current module price.

Keys to Passing

  • Complete 500+ practice questions
  • Score 80%+ consistently before scheduling
  • Focus on highest-weighted sections
  • Use our AI tutor for tough concepts

ICDL Data Analytics Study Tips from Top Performers

1Download the official Data Analytics – Foundation Syllabus 1.0 PDF from icdl.org and tick off each task item as you study.
2Practise mean, median, mode, range, and variance calculations using spreadsheet functions on sample Irish business datasets.
3Master TRIM, date standardisation, and VLOOKUP with exact match before attempting pivot tables.
4Build pivot tables with multiple aggregations, group dates into quarters, and connect slicers across two pivots on one sheet.
5Create column, line, and pie charts from pivot data; keep Y-axis baselines at zero for fair comparisons.
6Import a cleansed spreadsheet into Power BI Desktop, add a KPI card and bar chart, then practise publishing and sharing via link.
7Take timed 45-minute practice sessions with 36 questions to simulate the official test length and pace.

Frequently Asked Questions

How many questions are on the official ICDL Data Analytics test in Ireland?

The certification test contains 36 multiple-choice questions and practical tasks, each worth one mark, delivered in a 45-minute session at an ICDL Accredited Test Centre.

What score do I need to pass ICDL Data Analytics?

The pass mark is 75%, which means at least 27 correct answers out of 36 marks, following ICDL Foundation standard specifications for Professional modules.

Who administers ICDL Data Analytics in Ireland?

The Irish Computer Society (ICS) is the national operator for ICDL in Ireland. Candidates register and sit tests at ICDL Accredited Test Centres located across the country.

Which syllabus version does this practice cover?

Questions are aligned to ICDL Data Analytics – Foundation Syllabus 1.0, the current version on ICDL Global with four categories from Concepts and Statistical Analysis through Data Visualisation.

Which tools are used in the ICDL Data Analytics exam?

Candidates perform practical tasks in spreadsheet and data-visualisation applications such as Microsoft Excel and Power BI Desktop, as specified in Syllabus 1.0 training and test environments.

Are these the official ICDL exam questions?

No. These are original OpenExamPrep multiple-choice items for extra drill. ICDL publishes separate sample tests on icdl.org; live certification tests also include hands-on practical tasks not fully replicated here.