Digital Marketing / Data / IA / Digital Marketing Data and IA Specialist

Marketing Digital Data and IA

Connect digital marketing execution with data, analytics, automation, and IA-assisted workflows across acquisition, conversion, lifecycle, experimentation, reporting, and responsible personalization.

Data-led marketing campaignsIA-assisted marketing workflowsPerformance reporting evidence
Start domain mock test

Platform-wide module outputs

Every module now feeds portfolio proof and CV readiness.

Lesson proof

Concept, demo, checklist, lab, and assignment evidence.

Portfolio pack

Requirement, artifact, validation, risk note, and interview story.

CV signal

Role-specific skill statement linked to a score or artifact.

Review queue

Submitted evidence can support dashboard, readiness, and career exports.

Open materials

Certification objective coverage

Every provider-aligned module is connected to a lesson, labs, mock questions, and implementation proof.

This is the track-level audit view for blueprint alignment. Exact exam wording should still be checked against the current official provider guide before public exam-code claims are made.

marketing-digital-data-ia.marketing-digital-data-and-ia-foundations.01 / 8% weight

Apply Marketing digital data and IA foundations decisions to Digital Marketing Data and IA Specialist scenarios

Mapped
Open mapped lesson

Mock questions

3

Lab evidence

6

Implementation proof

  • Define Marketing digital data and IA foundations in plain language and explain the provider service family it belongs to.
  • Show how Marketing digital data and IA foundations is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
  • Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
  • Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.

Evidence requirements

  • Correct scenario decision in mock exam
  • Written explanation of the key requirement or constraint
  • Hands-on lab evidence or troubleshooting proof
  • Portfolio pack with requirement, artifact, validation, risk note, and interview story
  • CV-ready skill statement linked to a score, artifact, or project result

marketing-digital-data-ia.audience-segmentation-personas-and-journey-analytics.02 / 8% weight

Apply Audience segmentation personas and journey analytics decisions to Digital Marketing Data and IA Specialist scenarios

Mapped
Open mapped lesson

Mock questions

3

Lab evidence

6

Implementation proof

  • Define Audience segmentation personas and journey analytics in plain language and explain the provider service family it belongs to.
  • Show how Audience segmentation personas and journey analytics is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
  • Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
  • Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.

Evidence requirements

  • Correct scenario decision in mock exam
  • Written explanation of the key requirement or constraint
  • Hands-on lab evidence or troubleshooting proof
  • Portfolio pack with requirement, artifact, validation, risk note, and interview story
  • CV-ready skill statement linked to a score, artifact, or project result

marketing-digital-data-ia.marketing-data-sources-crm-web-ads-and-email.03 / 8% weight

Apply Marketing data sources CRM web ads and email decisions to Digital Marketing Data and IA Specialist scenarios

Mapped
Open mapped lesson

Mock questions

3

Lab evidence

6

Implementation proof

  • Define Marketing data sources CRM web ads and email in plain language and explain the provider service family it belongs to.
  • Show how Marketing data sources CRM web ads and email is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
  • Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
  • Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.

Evidence requirements

  • Correct scenario decision in mock exam
  • Written explanation of the key requirement or constraint
  • Hands-on lab evidence or troubleshooting proof
  • Portfolio pack with requirement, artifact, validation, risk note, and interview story
  • CV-ready skill statement linked to a score, artifact, or project result

marketing-digital-data-ia.ga4-events-utm-taxonomy-and-conversion-tracking.04 / 8% weight

Apply GA4 events UTM taxonomy and conversion tracking decisions to Digital Marketing Data and IA Specialist scenarios

Mapped
Open mapped lesson

Mock questions

3

Lab evidence

6

Implementation proof

  • Define GA4 events UTM taxonomy and conversion tracking in plain language and explain the provider service family it belongs to.
  • Show how GA4 events UTM taxonomy and conversion tracking is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
  • Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
  • Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.

Evidence requirements

  • Correct scenario decision in mock exam
  • Written explanation of the key requirement or constraint
  • Hands-on lab evidence or troubleshooting proof
  • Portfolio pack with requirement, artifact, validation, risk note, and interview story
  • CV-ready skill statement linked to a score, artifact, or project result

marketing-digital-data-ia.seo-content-intelligence-and-search-intent-analysis.05 / 8% weight

Apply SEO content intelligence and search intent analysis decisions to Digital Marketing Data and IA Specialist scenarios

Mapped
Open mapped lesson

Mock questions

3

Lab evidence

6

Implementation proof

  • Define SEO content intelligence and search intent analysis in plain language and explain the provider service family it belongs to.
  • Show how SEO content intelligence and search intent analysis is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
  • Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
  • Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.

Evidence requirements

  • Correct scenario decision in mock exam
  • Written explanation of the key requirement or constraint
  • Hands-on lab evidence or troubleshooting proof
  • Portfolio pack with requirement, artifact, validation, risk note, and interview story
  • CV-ready skill statement linked to a score, artifact, or project result

marketing-digital-data-ia.paid-media-measurement-budgeting-and-optimization.06 / 8% weight

Apply Paid media measurement budgeting and optimization decisions to Digital Marketing Data and IA Specialist scenarios

Mapped
Open mapped lesson

Mock questions

3

Lab evidence

6

Implementation proof

  • Define Paid media measurement budgeting and optimization in plain language and explain the provider service family it belongs to.
  • Show how Paid media measurement budgeting and optimization is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
  • Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
  • Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.

Evidence requirements

  • Correct scenario decision in mock exam
  • Written explanation of the key requirement or constraint
  • Hands-on lab evidence or troubleshooting proof
  • Portfolio pack with requirement, artifact, validation, risk note, and interview story
  • CV-ready skill statement linked to a score, artifact, or project result

marketing-digital-data-ia.lifecycle-email-crm-automation-and-lead-scoring.07 / 8% weight

Apply Lifecycle email CRM automation and lead scoring decisions to Digital Marketing Data and IA Specialist scenarios

Mapped
Open mapped lesson

Mock questions

3

Lab evidence

6

Implementation proof

  • Define Lifecycle email CRM automation and lead scoring in plain language and explain the provider service family it belongs to.
  • Show how Lifecycle email CRM automation and lead scoring is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
  • Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
  • Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.

Evidence requirements

  • Correct scenario decision in mock exam
  • Written explanation of the key requirement or constraint
  • Hands-on lab evidence or troubleshooting proof
  • Portfolio pack with requirement, artifact, validation, risk note, and interview story
  • CV-ready skill statement linked to a score, artifact, or project result

marketing-digital-data-ia.social-listening-community-insights-and-creative-testing.08 / 8% weight

Apply Social listening community insights and creative testing decisions to Digital Marketing Data and IA Specialist scenarios

Mapped
Open mapped lesson

Mock questions

3

Lab evidence

6

Implementation proof

  • Define Social listening community insights and creative testing in plain language and explain the provider service family it belongs to.
  • Show how Social listening community insights and creative testing is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
  • Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
  • Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.

Evidence requirements

  • Correct scenario decision in mock exam
  • Written explanation of the key requirement or constraint
  • Hands-on lab evidence or troubleshooting proof
  • Portfolio pack with requirement, artifact, validation, risk note, and interview story
  • CV-ready skill statement linked to a score, artifact, or project result

marketing-digital-data-ia.ia-assisted-content-ideation-and-campaign-operations.09 / 8% weight

Apply IA-assisted content ideation and campaign operations decisions to Digital Marketing Data and IA Specialist scenarios

Mapped
Open mapped lesson

Mock questions

3

Lab evidence

6

Implementation proof

  • Define IA-assisted content ideation and campaign operations in plain language and explain the provider service family it belongs to.
  • Show how IA-assisted content ideation and campaign operations is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
  • Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
  • Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.

Evidence requirements

  • Correct scenario decision in mock exam
  • Written explanation of the key requirement or constraint
  • Hands-on lab evidence or troubleshooting proof
  • Portfolio pack with requirement, artifact, validation, risk note, and interview story
  • CV-ready skill statement linked to a score, artifact, or project result

marketing-digital-data-ia.marketing-experimentation-attribution-and-incrementality.10 / 8% weight

Apply Marketing experimentation attribution and incrementality decisions to Digital Marketing Data and IA Specialist scenarios

Mapped
Open mapped lesson

Mock questions

3

Lab evidence

6

Implementation proof

  • Define Marketing experimentation attribution and incrementality in plain language and explain the provider service family it belongs to.
  • Show how Marketing experimentation attribution and incrementality is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
  • Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
  • Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.

Evidence requirements

  • Correct scenario decision in mock exam
  • Written explanation of the key requirement or constraint
  • Hands-on lab evidence or troubleshooting proof
  • Portfolio pack with requirement, artifact, validation, risk note, and interview story
  • CV-ready skill statement linked to a score, artifact, or project result

marketing-digital-data-ia.privacy-consent-brand-safety-and-responsible-ia.11 / 8% weight

Apply Privacy consent brand safety and responsible IA decisions to Digital Marketing Data and IA Specialist scenarios

Mapped
Open mapped lesson

Mock questions

3

Lab evidence

6

Implementation proof

  • Define Privacy consent brand safety and responsible IA in plain language and explain the provider service family it belongs to.
  • Show how Privacy consent brand safety and responsible IA is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
  • Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
  • Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.

Evidence requirements

  • Correct scenario decision in mock exam
  • Written explanation of the key requirement or constraint
  • Hands-on lab evidence or troubleshooting proof
  • Portfolio pack with requirement, artifact, validation, risk note, and interview story
  • CV-ready skill statement linked to a score, artifact, or project result

marketing-digital-data-ia.marketing-data-and-ia-campaign-capstone.12 / 12% weight

Apply Marketing data and IA campaign capstone decisions to Digital Marketing Data and IA Specialist scenarios

Mapped
Open mapped lesson

Mock questions

3

Lab evidence

6

Implementation proof

  • Define Marketing data and IA campaign capstone in plain language and explain the provider service family it belongs to.
  • Show how Marketing data and IA campaign capstone is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
  • Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
  • Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.

Evidence requirements

  • Correct scenario decision in mock exam
  • Written explanation of the key requirement or constraint
  • Hands-on lab evidence or troubleshooting proof
  • Portfolio pack with requirement, artifact, validation, risk note, and interview story
  • CV-ready skill statement linked to a score, artifact, or project result

Test readiness

Mock test by domain

Practice every domain in this track with exam-style questions, answer keys, and explanations.

Open mock test

Most in-demand certification materials

High-value certificates connected to this track.

CompTIA

CompTIA Security+

Very high
Needs reviewLast verified: Not verifiedNext review: Provider source review required

Entry security, cloud security fundamentals, and broad IT baseline roles.

CompTIA Security+ is mapped to platform lessons and labs, but still needs a dated official-source review.

  • Security terminology flashcards
  • Risk, identity, encryption, network, and incident-response checklist
  • Scenario questions covering least privilege, logging, malware, and secure operations

AWS

AWS Certified Cloud Practitioner (CLF-C02)

Very high
CurrentLast verified: 2026-06-24Next review: 2026-09-22

Beginners and career switchers who need cloud concepts, pricing, shared responsibility, global infrastructure, and core AWS service literacy.

CLF-C02 was verified against the official AWS certification page on 2026-06-24. Keep this source check on the 90-day review cadence.

AWS official-source stamp

Foundational / CLF-C02

AWS exam guide

Official domain weighting

Cloud Concepts24%
Security and Compliance30%
Cloud Technology and Services34%
Billing, Pricing, and Support12%

Lab focus

  • Service-family mapping
  • Shared responsibility
  • IAM baseline
  • Billing and support signals

Readiness gates

  • Foundation lessons complete
  • Core AWS service map complete
  • Billing/security quiz passed
  • Cleanup evidence captured
  • Cloud concepts, global infrastructure, billing, support, and shared-responsibility notes
  • AWS compute, storage, database, networking, security, monitoring, and pricing service map
  • Foundation scenario drills for service selection, cost awareness, and cloud adoption

PeopleCert / ITIL

ITIL Foundation Version 5

Very high
Needs reviewLast verified: Not verifiedNext review: Provider source review required

Support, operations, service desk, cloud operations, and team-lead learners who need service value, incident, change, SLA, and continual improvement fluency.

ITIL Foundation Version 5 is mapped to platform lessons and labs, but still needs a dated official-source review.

  • Service value system, value chain, guiding principles, and practice vocabulary map
  • Incident, problem, change, request, service level, knowledge, and continual improvement drills
  • Service review evidence pack with tickets, SLA metrics, improvement actions, and stakeholder communication

GitHub

GitHub Foundations

High
Needs reviewLast verified: Not verifiedNext review: Provider source review required

Software, DevOps, cloud, data, and AI learners proving repository workflow, collaboration, issues, pull requests, and portfolio evidence.

GitHub Foundations is mapped to platform lessons and labs, but still needs a dated official-source review.

  • Repository, commit, branch, pull request, issue, release, and project-board checklist
  • Code review, branch protection, README, and portfolio repository quality rubric
  • Workflow scenario drills for collaboration, review, release notes, and change history

Google Skillshop

Google Analytics Certification

High
Needs reviewLast verified: Not verifiedNext review: Provider source review required

Design, marketing, product, and business learners who need GA4 events, conversions, audiences, acquisition, and reporting fluency.

Google Analytics Certification is mapped to platform lessons and labs, but still needs a dated official-source review.

  • GA4 event, conversion, UTM, audience, report, and attribution vocabulary map
  • Measurement plan and dashboard checklist for websites, campaigns, and landing pages
  • Optimization scenario drills connecting traffic, conversion, content, and campaign decisions

Certification provider connections

Connect this learning path to the official exam provider.

CompTIA Certification

CompTIA Security+

Confirm with provider

Use CompTIA objectives as the checklist, then connect Security+, Network+, or Cloud+ progress to the learner dashboard.

Booking partner: Pearson VUE

  • Create or confirm the CompTIA account.
  • Review the official exam guide, ID policy, delivery options, and reschedule rules.
  • Add target exam date, booking status, renewal date, and certificate proof to the learner record.

AWS Certification

AWS Certified Cloud Practitioner (CLF-C02)

Confirm with provider

Use the AWS Certification account to review exam guides, book exams, manage score reports, and share verified badges.

Booking partner: Pearson VUE or PSI, depending on exam and region

  • Create or confirm the AWS Certification account.
  • Review the official exam guide, ID policy, delivery options, and reschedule rules.
  • Add target exam date, booking status, renewal date, and certificate proof to the learner record.

PeopleCert

ITIL Foundation Version 5

Confirm with provider

Connect ITIL and service-management readiness to the learner's exam booking, certificate proof, and renewal reminders.

Booking partner: PeopleCert

  • Create or confirm the PeopleCert account.
  • Review the official exam guide, ID policy, delivery options, and reschedule rules.
  • Add target exam date, booking status, renewal date, and certificate proof to the learner record.

GitHub Certifications

GitHub Foundations

Confirm with provider

Connect repository, Actions, security, and collaboration evidence to certification readiness and portfolio exports.

Booking partner: GitHub exam delivery partner

  • Create or confirm the GitHub account.
  • Review the official exam guide, ID policy, delivery options, and reschedule rules.
  • Add target exam date, booking status, renewal date, and certificate proof to the learner record.

Google Skillshop

Google Analytics Certification

Confirm with provider

Use Skillshop for Google product credentials and connect analytics or marketing evidence to learner progress.

Booking partner: Google Skillshop

  • Create or confirm the Google Skillshop profile.
  • Review the official exam guide, ID policy, delivery options, and reschedule rules.
  • Add target exam date, booking status, renewal date, and certificate proof to the learner record.

01 Match

Map each Daskerel track to the official provider, exam code, registration page, and verification route.

02 Prepare

Use provider objectives with Daskerel lessons, mock exams, labs, and evidence packs before booking.

03 Book

Send learners to the official scheduling partner while keeping target dates and next actions in the dashboard.

04 Verify

Capture certificate URL, badge, expiry, renewal plan, and portfolio proof after the learner passes.

Study plan

Begin with campaign objective, audience, offer, channel mix, data source, consent boundary, and conversion definition.

Practise building tagged journeys, dashboards, content briefs, segmentation logic, automation workflows, and experiment reports.

Use IA as an assistant for research, ideation, segmentation, and reporting while keeping human review, brand safety, and privacy controls visible.

Hands-on labs

Create a campaign measurement plan with audience, channels, UTM taxonomy, GA4 events, conversion goals, dashboard metrics, and reporting cadence.

Build a segmentation brief using CRM, web behavior, content engagement, lifecycle stage, consent status, and personalization limits.

Draft an IA-assisted content workflow with prompts, source material, review rules, brand checks, approval steps, and performance feedback.

Design a lifecycle automation flow for lead nurture, onboarding, reactivation, or renewal with triggers, messages, scoring, and suppression rules.

Compare campaign performance using acquisition cost, conversion rate, retention signal, revenue contribution, attribution caveats, and next test.

Package a campaign case study with strategy, tracking plan, creative map, IA workflow, dashboard, experiment result, and optimization plan.

Track learning assets

Templates and revision tools for this path.

Exam blueprint checklistMarketing Digital Data and IA
Weekly study plannerMarketing Digital Data and IA
Command and service cheat sheetMarketing Digital Data and IA
Architecture pattern cardsMarketing Digital Data and IA
Flashcard revision setMarketing Digital Data and IA
Mock exam review sheetMarketing Digital Data and IA
Lab evidence templateMarketing Digital Data and IA
Interview story builderMarketing Digital Data and IA
Portfolio project rubricMarketing Digital Data and IA
Final readiness checklistMarketing Digital Data and IA

Course rating

Rate this learning path

Your response goes to the management dashboard so repeated friction can be fixed quickly.

Context: Marketing Digital Data and IA

Rating

Practice questions

Why should a digital campaign define its tracking plan before launch?

A tracking plan ensures channels, events, conversion goals, consent, attribution, and reporting are ready before traffic arrives, so performance can be trusted.

Where can IA help marketing teams without replacing judgement?

IA can support research, content ideation, variation generation, segmentation hypotheses, reporting summaries, and workflow automation, while humans validate claims, tone, compliance, and strategy.

What makes marketing data trustworthy for decision-making?

Trustworthy marketing data has clear definitions, consent handling, consistent tags, source ownership, quality checks, context for attribution limits, and a documented reporting cadence.