{"id":161,"date":"2025-12-12T21:44:29","date_gmt":"2025-12-12T21:44:29","guid":{"rendered":"http:\/\/vargas-solar.com\/data-ware-lake-houses-bi\/?page_id=161"},"modified":"2025-12-12T21:46:21","modified_gmt":"2025-12-12T21:46:21","slug":"final-exam-preparation-guide","status":"publish","type":"page","link":"https:\/\/vargas-solar.com\/data-ware-lake-houses-bi\/final-exam-preparation-guide\/","title":{"rendered":"Final Exam Preparation Guide"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">1. What the Exam Evaluates<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The exam evaluates your ability to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>&#8211; Understand data lakes, lakehouses, data warehouses, metadata, governance, and sustainability.<\/li>\n\n\n\n<li>&#8211; Model analytical systems (fact tables, dimensions, grain, hierarchies, star vs snowflake).<\/li>\n\n\n\n<li>&#8211; Perform OLAP reasoning (roll-up, drill-down, slice, dice, SQL OLAP feasibility).<\/li>\n\n\n\n<li>&#8211; Reason about edge\u2013fog\u2013cloud deployments, including economic, energy, CO\u2082, and social impact.<\/li>\n\n\n\n<li>&#8211; Understand project roles and estimate person-hour distribution in a DW project.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">2. Core Knowledge to Review<\/h2>\n\n\n\n<h2 class=\"wp-block-heading\">A. Data Warehousing Fundamentals:<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>&#8211; Fact vs dimension tables<\/li>\n\n\n\n<li>&#8211; Grain identification<\/li>\n\n\n\n<li>&#8211; Hierarchies and attributes<\/li>\n\n\n\n<li>&#8211; Additive, semi-additive, and non-additive facts<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">B. Granularities &amp; Hierarchies:<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>&#8211; Time: Day \u2192 Week \u2192 Month \u2192 Quarter \u2192 Year \u2192 Hour (optional)<\/li>\n\n\n\n<li>&#8211; Location: Site \u2192 City \u2192 Region \u2192 Country<\/li>\n\n\n\n<li>&#8211; User: User \u2192 Household \u2192 Segment \u2192 Country<\/li>\n\n\n\n<li>&#8211; Product\/Page\/Article: Item \u2192 Category \u2192 Domain<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">C. OLAP Operations:<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>&#8211; Roll-up, Drill-down, Slice, Dice<\/li>\n\n\n\n<li>&#8211; GROUP BY, ROLLUP, CUBE<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">D. Edge\u2013Fog\u2013Cloud Concepts:<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">&#8211; What runs where, responsible data processing, energy\/CO\u2082 reduction, privacy-preserving design.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">E. Project Roles:<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">&#8211; PM, DE, DS, BI, DevOps; responsibilities and collaboration.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">3. Practice Before the Exam<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>&#8211; Identify fact tables, grains, and dimensions from textual descriptions.<\/li>\n\n\n\n<li>&#8211; Draw star and snowflake schemas with PK\/FK.<\/li>\n\n\n\n<li>&#8211; Write OLAP reasoning and SQL pseudo-queries.<\/li>\n\n\n\n<li>&#8211; Compare cloud vs hybrid architectures.<\/li>\n\n\n\n<li>&#8211; Estimate project phases and person-days.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Practice Problem \u2013 Integrated Data Warehousing, OLAP, and Edge\u2013Fog\u2013Cloud Architecture<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Scenario:<br>StreamView, a video news platform, wants to build a data warehouse for user analytics and real-time content adaptation.<br><br>Questions:<br><br>Q1. Fact Table Identification &amp; Grain<br>a) Identify the fact table(s).<br>b) Define the grain.<br>c) List five measures and classify them (additive, semi-additive, non-additive).<br><br>Q2. Dimensional Modelling<br>Design four dimensions (granularity, hierarchy, snowflake relevance).<br><br>Q3. OLAP Reasoning<br>For each query:<br>1. Identify OLAP operations.<br>2. Write pseudo-SQL.<br>3. Explain feasibility.<br><br>Q4. Edge\u2013Fog\u2013Cloud Architecture<br>a) Cloud-centric architecture.<br>b) Hybrid architecture (edge, fog, cloud).<br>c) Two design decisions to reduce energy\/CO\u2082 and social profiling.<br><br>Q5. Project Roles and Effort Estimation<br>a) Define phases and roles.<br>b) Estimate person-days.<br>c) Discuss trade-offs.<br><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The 4 Pillars of Exam Success<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">\u00a0<em>Understand DW Core Concepts<\/em><br>&#8211; Fact table, grain, dimensions, hierarchies, star vs snowflake.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Master OLAP Thinking<\/em><br>&#8211; Roll-up, drill-down, slice, dice, SQL ROLLUP\/CUBE.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u00a0<em>Deployment Patterns<\/em><br>&#8211; Cloud-centric vs hybrid edge\u2013fog\u2013cloud.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u00a0<em>Modelling Checklist<\/em><br>&#8211; Grain \u2192 dimensions \u2192 hierarchies \u2192 PK\/FK \u2192 measures.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>1. What the Exam Evaluates The exam evaluates your ability to: 2. Core Knowledge to Review A. Data Warehousing Fundamentals: B. Granularities &amp; Hierarchies: C. OLAP Operations: D. Edge\u2013Fog\u2013Cloud Concepts: &#8211; What runs where, responsible data processing, energy\/CO\u2082 reduction, privacy-preserving &hellip; <a href=\"https:\/\/vargas-solar.com\/data-ware-lake-houses-bi\/final-exam-preparation-guide\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":11,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-161","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/vargas-solar.com\/data-ware-lake-houses-bi\/wp-json\/wp\/v2\/pages\/161","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/vargas-solar.com\/data-ware-lake-houses-bi\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/vargas-solar.com\/data-ware-lake-houses-bi\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/vargas-solar.com\/data-ware-lake-houses-bi\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/vargas-solar.com\/data-ware-lake-houses-bi\/wp-json\/wp\/v2\/comments?post=161"}],"version-history":[{"count":3,"href":"https:\/\/vargas-solar.com\/data-ware-lake-houses-bi\/wp-json\/wp\/v2\/pages\/161\/revisions"}],"predecessor-version":[{"id":165,"href":"https:\/\/vargas-solar.com\/data-ware-lake-houses-bi\/wp-json\/wp\/v2\/pages\/161\/revisions\/165"}],"wp:attachment":[{"href":"https:\/\/vargas-solar.com\/data-ware-lake-houses-bi\/wp-json\/wp\/v2\/media?parent=161"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}