Easy to use certification guide for AD0-E608 Korean - Adobe Customer Journey Analytics Business Practitioner Professional (AD0-E608 Korean Version)
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Adobe AD0-E608 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Components | 30% | - Build non-admin components to address business requirements - Translate business questions into relevant components - Create subsets of data using components and filters |
| Topic 2: Data Analysis | 26% | - Perform exploratory analysis and interpret results for insights - Select correct components for analysis scenarios - Evaluate audiences and share with Adobe Experience Platform tools |
| Topic 3: Distribution | 12% | - Organize projects logically for access and management - Schedule and share reports and dashboards with stakeholders - Curate available fields within reports and dashboards |
| Topic 4: Reporting | 32% | - Determine correct data views based on sources, identities, date ranges - Select appropriate visualizations or tables for business needs - Apply and configure date ranges effectively |
Adobe Customer Journey Analytics Business Practitioner Professional (AD0-E608 Korean Version) Sample Questions:
1. Adobe CJA에서 이메일로 프로젝트 보고서를 보내려면 어떤 배포 방법을 사용해야 합니까?
응답:
A) 이메일 배포 채널
B) 캠페인 전달 모듈
C) 보고서 스케줄러
D) 데이터 내보내기 서비스
2. 분석가는 최소 지난 12개월, 어쩌면 그 이상의 기간 동안의 연간 비교 데이터를 포함하는 대시보드를 만들고 있습니다. 필요한 출처를 포함하고 분석가가 사용하려는 ID를 기반으로 하는 세 가지 데이터 뷰가 있습니다.
분석가는 어떤 데이터 뷰를 사용해야 합니까?
응답:
A) 12개월 이동 데이터 창을 포함하는 데이터 보기입니다.
B) 18개월 이동 데이터 창을 포함하는 데이터 보기입니다.
C) 36개월 이동 데이터 창을 포함하는 데이터 보기입니다.
D) 24개월 이동 데이터 창을 포함하는 데이터 보기입니다.
3. Adobe CJA에서 수익 실적 보고서를 생성할 때 어떤 지표를 우선시해야 합니까?
(두 개를 선택하세요.)
응답:
A) 데이터 수집 속도
B) 캠페인 전달 로그
C) 총 수익
D) 구매 전환율
4. Adobe CJA에서 고객당 여러 거래를 추적하는 데 필수적인 데이터 구성 요소는 무엇입니까?
응답:
A) 데이터 수집 규칙
B) 데이터 뷰 메트릭
C) 이벤트 데이터 세트
D) 프로필 속성
5. 한 회사에서는 유료 소셜 미디어 메시지에 대한 A/B 테스트를 실시하여 두 가지 다른 카테고리의 제품을 선보였습니다. 그 목적은 어느 플랫폼에서 어느 제품 카테고리가 더 많은 판매를 이끌어내는지 파악하는 것이었습니다.
모든 광고에 적절한 캠페인 매개변수가 태그로 지정되었습니다. 테스트 성과를 평가하는 제품 분석가는 여러 가지 데이터 뷰 중에서 선택할 수 있습니다.
어떤 것이 제품 카테고리 분석을 가장 잘 뒷받침할까요?
응답:
A) 제품 분석 및 이메일 설문 조사 데이터만 포함된 데이터 보기입니다.
B) 이메일 전송 데이터, 웹 분석 데이터, 판매 데이터, 설문 조사 정보, 제품 분류 정보가 포함된 데이터 보기입니다.
C) 모든 플랫폼의 소셜 노출, 웹 분석 데이터, 판매 데이터 및 제품 분류 정보가 포함된 데이터 보기입니다.
D) 모든 플랫폼의 소셜 노출, 이메일 전송 데이터, 웹 분석 데이터 및 제품 분류 정보가 포함된 데이터 보기입니다.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: C,D | Question # 4 Answer: C | Question # 5 Answer: C |
