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100+ Free TASC Data Science and Digital Solutions Practice Questions

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2026 Statistics

Key Facts: TASC Data Science and Digital Solutions Exam

DSD315124

Official TASC course code for Data Science and Digital Solutions Level 3 (15 TCE credit points)

TASC course page

1 folio

External assessment component — extended digital solutions project assessing criteria 1, 2, 3, 4 and 8

DSD315124 External Assessment Specifications Feb 2026

40 hours

Maximum class time allocation for the extended digital solutions project (internal and external components)

DSD315124 External Assessment Specifications Feb 2026

30 Oct 2026

2026 folio due date to TASC by 5:00 pm for Data Science and Digital Solutions

2026 TASC Folio External Assessment Dates

EA–LA

Possible course awards from Exceptional Achievement to Limited Achievement

TASC award reporting / course documents

3 modules

People, data and digital systems; Data-driven design; From problem to solution (50 hours each)

TASC DSD315124 course document

TASC Data Science and Digital Solutions Level 3 (DSD315124) is assessed through school ratings plus an externally marked folio due ~30 October 2026. This 100-question MCQ bank is a study adaptation covering the data lifecycle, algorithms, digital solutions design, quantitative data interpretation, ethics/privacy/security, and folio evaluation.

Sample TASC Data Science and Digital Solutions Practice Questions

Try these sample questions to test your TASC Data Science and Digital Solutions exam readiness. Each question includes a detailed explanation. Start the interactive quiz above for the full 100+ question experience with AI tutoring.

1In the data lifecycle, which stage typically comes immediately after data collection?
A.Data storage
B.Data visualisation
C.Model deployment
D.Stakeholder pitching
Explanation: After data is collected it must be stored securely and accessibly before processing, analysis, or visualisation. Storage is the natural next stage in a basic data lifecycle.
2Which statement best defines raw data?
A.Data that has already been summarised into charts
B.Unprocessed facts or measurements as originally recorded
C.Only qualitative interview notes
D.Encrypted backup copies of a database
Explanation: Raw data are the original, unprocessed observations or measurements before cleaning, transformation, or aggregation.
3Which component of an information system is primarily responsible for long-term retention of records?
A.Output devices such as monitors
B.Network cables alone
C.Data storage
D.User interface colour themes
Explanation: Data storage retains information over time so it can be retrieved, processed, and shared by the information system.
4Big data is best characterised by which combination of features?
A.Only handwritten paper archives
B.Data that never changes after entry
C.Exactly 100 rows in a spreadsheet
D.Very large volume, high velocity, and often varied variety of data
Explanation: Big data is commonly described by high volume, velocity, and variety (and related V's), distinguishing it from small, static datasets.
5Which activity is part of data cleaning?
A.Removing duplicate records and correcting obvious entry errors
B.Choosing a logo colour for an app
C.Printing the folio cover page
D.Buying a new laptop
Explanation: Data cleaning improves quality by handling duplicates, missing values, inconsistent formats, and clear entry errors before analysis.
6In Module 1 of DSD315124, learners focus on people, data and digital systems. Which outcome best matches that focus?
A.Ignoring how organisations use data
B.Exploring digital transformation and developing confidence collecting, storing, processing, analysing and communicating data
C.Studying only classical literature
D.Avoiding any discussion of emerging careers
Explanation: Module 1 explores digital transformation and builds skills across the data lifecycle from collection through communication, including emerging digital contexts.
7Which pair correctly matches an input and an output in a typical information system?
A.Monitor → mouse click
B.Printer → typed password
C.Keyboard entry → displayed report
D.Barcode scanner → keyboard key press
Explanation: Keyboard input feeds the system; a displayed report is a common output communicating processed information.
8Metadata is best described as:
A.A printed hardware manual
B.Only the largest numeric field in a table
C.A type of malware
D.Data about data, such as when a file was created or who collected a survey
Explanation: Metadata describes other data — for example timestamps, authorship, source, format, or collection method — supporting management and interpretation.
9Which storage approach is most appropriate for frequently updated collaborative project files shared across a team?
A.A managed shared drive or cloud workspace with access controls
B.A single USB stick locked in one student's locker
C.Writing files only on paper sticky notes
D.Emailing every draft to the entire school
Explanation: Shared cloud or managed drives with access controls support collaboration, versioning, and appropriate security for team project files.
10Primary data differs from secondary data because primary data is:
A.Always inaccurate
B.Collected firsthand for the current purpose
C.Copied only from Wikipedia
D.Never quantitative
Explanation: Primary data is gathered directly by the researcher for the investigation; secondary data was collected by others for another purpose.

About the TASC Data Science and Digital Solutions Exam

Data Science and Digital Solutions (DSD315124) is a TASC Level 3 Professional Studies course (15 TCE credit points, current for 2026) in which learners explore digital transformation, collect and interpret data, design user-centred digital solutions, and address ethical, legal, privacy and sustainability considerations. Assessment combines school ratings on eight criteria with an externally marked multimodal folio (extended digital solutions project) assessing criteria 1, 2, 3, 4 and 8. This 100-question practice bank adapts official criterion knowledge — data lifecycle, algorithms, information systems, data interpretation, solution design, ethics/privacy/security, and evaluation — into multiple-choice study items.

Assessment

Three 50-hour modules: People, data and digital systems; Data-driven design; From problem to solution. Internal assessment rates all 8 criteria. External folio assesses criteria 1, 2, 3, 4 and 8 (Criterion 5 is internally assessed only from 2026). Folio components include title page, project proposal, design brief, feasibility study, systems analysis, research analysis essay (1500–2000 words), resolved digital solution, reflective journal, and references. Final awards: EA, HA, CA, SA, PA, or LA. Practiced here via an English-language MCQ study adaptation.

Time Limit

Recommended 120 minutes study session for full 100-question practice assessment. Official folio work: max 40 hours class time; 2026 due to TASC by 5:00 pm Friday 30 October.

Passing Score

Awards range from Exceptional Achievement (EA) to Limited Achievement (LA). Failure to submit the external folio caps the course award at Preliminary Achievement (PA).

Exam Fee

Included in standard Tasmanian school enrolment / TASC course delivery (no separate candidate exam fee). (Office of Tasmanian Assessment, Standards and Certification (TASC))

TASC Data Science and Digital Solutions Exam Content Outline

20%

Data Lifecycle & Information Systems

Modules 1–2 / Criteria 2–3: data collection, storage, processing, analysis and communication; information-system components; big data and organisational use of data.

15%

Algorithms & Computational Thinking

Problem decomposition, algorithm design and evaluation, patterns, abstraction, and computational approaches that underpin digital solutions.

20%

Digital Solutions Design & Systems Analysis

Criteria 1–2 / Module 3: design briefs, feasibility studies, systems analysis, use cases, prototyping, and resolved digital products, services or systems.

20%

Data Interpretation & User-Centred Design

Criterion 3: selecting visualisation and interpretation techniques, reading charts/tables, and using quantitative evidence to inform user-centred design decisions.

15%

Ethics, Privacy, Security & Sustainability

Criteria 7–8: privacy principles, digital footprint, cyber threats, risk mitigation, ethical/legal frameworks, and sustainability impacts of digital solutions.

10%

Evaluation, Communication & Folio Process

Criteria 4–5: communicating for technical and non-technical audiences, reflective journals, project management, and evaluating solution success against criteria.

How to Pass the TASC Data Science and Digital Solutions Exam

What You Need to Know

  • Passing score: Awards range from Exceptional Achievement (EA) to Limited Achievement (LA). Failure to submit the external folio caps the course award at Preliminary Achievement (PA).
  • Assessment: Three 50-hour modules: People, data and digital systems; Data-driven design; From problem to solution. Internal assessment rates all 8 criteria. External folio assesses criteria 1, 2, 3, 4 and 8 (Criterion 5 is internally assessed only from 2026). Folio components include title page, project proposal, design brief, feasibility study, systems analysis, research analysis essay (1500–2000 words), resolved digital solution, reflective journal, and references. Final awards: EA, HA, CA, SA, PA, or LA. Practiced here via an English-language MCQ study adaptation.
  • Time limit: Recommended 120 minutes study session for full 100-question practice assessment. Official folio work: max 40 hours class time; 2026 due to TASC by 5:00 pm Friday 30 October.
  • Exam fee: Included in standard Tasmanian school enrolment / TASC course delivery (no separate candidate exam fee).

Keys to Passing

  • Work through all 100 available questions
  • Review every answer and explanation
  • Track weak areas and revisit them
  • Use our AI tutor for tough concepts

TASC Data Science and Digital Solutions Study Tips from Top Performers

1Define the research problem, stakeholders, constraints and success criteria early in the project proposal — markers rate Criteria 1 and 3 on clarity of problem analysis and data-informed design intent.
2Treat systems analysis as assessed evidence: capture interviews/surveys, current-system analysis, data flows/structures, use cases, prototypes, risk analysis and stakeholder communication.
3Use the research analysis essay (1500–2000 words) to justify design choices with data interpretation, ethical/legal/sustainability considerations (Criterion 8), and evaluated alternatives.
4Keep the reflective journal continuous and linked to decisions; communication for both technical and non-technical audiences is Criterion 4.
5Practise reading charts, calculating percentages/rates, and choosing appropriate visualisations — Criterion 3 rewards data interpretation that genuinely informs the solution.

Frequently Asked Questions

How is TASC Data Science and Digital Solutions (DSD315124) assessed?

Providers internally rate all eight course criteria across three 50-hour modules. TASC externally assesses criteria 1, 2, 3, 4 and 8 through one multimodal folio (extended digital solutions project) submitted via TRACS. Criterion 5 (project management) is internally assessed only. Final awards are EA, HA, CA, SA, PA, or LA. If no folio is submitted, the course award cannot exceed Preliminary Achievement (PA).

What is the format adaptation disclosure for this practice bank?

Official DSD315124 external assessment is a performance-based folio (extended digital solutions project), not a multiple-choice exam. This 100-question bank is an English-language MCQ study adaptation designed to reinforce data-lifecycle knowledge, algorithms, information systems, data interpretation, solution-design judgment, ethics/privacy/security, and evaluation practices aligned to the course criteria.

What must the DSD315124 external folio include?

Students submit a folio consisting of a project proposal, project folio and reflective journal. Required elements include a title page, project proposal, design brief, feasibility study, systems analysis of the systems development process, a research analysis essay (1500–2000 words), a resolved digital solution (product, service or system), a reflective journal, and a list of references.

When is the 2026 DSD315124 folio due?

For 2026, Data Science and Digital Solutions (DSD315124) folios are due to TASC by 5:00 pm on Friday 30 October. Schools set earlier internal due dates so teachers can verify authenticity and upload via TRACS.

How many TCE credit points does DSD315124 provide?

Successful completion (Preliminary Achievement or higher) yields 15 credit points at Level 3 toward the Participation Standard of the Tasmanian Certificate of Education (TCE). The course also meets the Everyday Adult Standard for Use of Computers and the Internet.

Is there a separate exam fee for DSD315124?

No. Assessment for DSD315124 is included in standard Tasmanian school enrolment / TASC course delivery; there is no separate candidate exam fee for the external folio.