50 QUESTIONS 90 MINUTES 70% PASSING SCORE $245 EXAM FEE 9 TOPIC AREAS Prepared by DBExam • www.dbexam.com Oracle • Analytics Cloud • 1Z0-1175-26 C E R T I F I C A T I O N G U I D E Model It, Visualize It, Explain It Inside the Line of Business Analytics and Semantic Modeling Professional with Oracle Analytics Cloud Certification Nine exam topic areas with their official weightings and all 22 objectives, laid out as a study checklist - plus the full exam fact sheet, who the credential is really built for, what Oracle cloud developers are paid in 2026, a five-step route from first read to booked seat, and ten real sample questions with a complete answer key. www.dbexam.com Oracle 1Z0-1175-26 Line of Business Analytics and Semantic Modeling Certified Professional with Oracle Analytics Cloud 1 S E C T I O N 0 1 Exam Overview This certification covers both halves of Oracle Analytics Cloud: the self-service side that business analysts use, and the governed semantic model that developers build underneath it. It does not test whether you can describe a dashboard - it tests whether you can prepare and blend datasets, build interactive workbooks, train and apply machine learning models in data flows, tune the AI Assistant, secure content by role, and model time series and data filters in a semantic model. Everything below comes from the official 1Z0-1175-26 exam page and DBExam's 1Z0-1175-26 exam syllabus page. Certification track Oracle Cloud Infrastructure Credential Line of Business Analytics and Semantic Modeling Certified Professional with Oracle Analytics Cloud Exam number and title 1Z0-1175-26 - Line of Business Analytics and Semantic Modeling Professional with Oracle Analytics Cloud Number of questions 50 Exam duration 90 minutes Question format Multiple choice, including multiple-select Passing score 70% Exam fee USD 245 (pricing varies by country and currency) Delivery Oracle University, on the MyLearn platform Product version covered Oracle Analytics Cloud 2026 Recommended training Become a Line of Business Analytics and Semantic Modeling Professional with Oracle Analytics Cloud learning path Two details are worth pinning down before you book. First, the pass mark is 70% , a little higher than the 68% most Oracle Cloud exams use, and this is the 2026 edition - check the -26 suffix on anything you study from. Second, Oracle publishes the weightings : semantic models and self-service visualization carry 38% between them, and AI and machine learning together add another 28%. Purchase and scheduling run through Oracle University. www.dbexam.com Oracle 1Z0-1175-26 Line of Business Analytics and Semantic Modeling Certified Professional with Oracle Analytics Cloud 2 S E C T I O N 0 2 Who This Exam Is Built For Read the blueprint and four kinds of practitioner fall out of it. The exam is unusual in asking one person to cover both the analyst's workbook and the modeler's semantic layer, so most candidates arrive strong in one and thin in the other. Business Analysts BI Developers Data Modelers Analytics Admins Oracle's recommended route is the Become a Line of Business Analytics and Semantic Modeling Professional with Oracle Analytics Cloud learning path on MyLearn. The questions are written around named teams with a concrete need - a cached dataset, a measure switcher, a role that must not see salaries - and reward people who have built those things in a real instance. The wider Oracle catalogue sits on the DBExam Oracle hub. S E C T I O N 0 3 The Nine Topic Areas Oracle publishes percentage weightings for this exam, so there is no need to guess where the marks sit. Semantic Models is the heaviest area at 20%, followed by Self-Service Visualization at 18%. Applying AI and Machine Learning carry 14% each - and each of those rests on just one or two objectives, which makes them dense. Three areas are worth only 5% apiece. Plan your study time accordingly. Working with Semantic Models in Oracle Analytics 20% Visualizing Data Using Self-Service Analytics 18% Applying AI on Oracle Analytics Cloud 14% Implementing Machine Learning with Oracle Analytics 14% Leveraging Advanced Analytics in Oracle Analytics 10% Managing Security and Optimizing Performance in Oracle Analytics 9% Creating Data Visualizations on Oracle Analytics Cloud 5% Explaining Data Modeling Concepts 5% Preparing Data with Oracle Analytics 5% Official weightings as published on the 1Z0-1175-26 exam syllabus, sorted from heaviest to lightest. The full objective list follows, straight from the 1Z0-1175-26 syllabus, with the wording and capitalization the syllabus uses. Read it as a checklist - if you cannot demonstrate a line in a real Oracle Analytics Cloud instance, that is a study item. www.dbexam.com Oracle 1Z0-1175-26 Line of Business Analytics and Semantic Modeling Certified Professional with Oracle Analytics Cloud 3 01. Applying AI on Oracle Analytics Cloud (14%) • Leverage AI-driven features for visualization, automation, and AI client integration 02. Creating Data Visualizations on Oracle Analytics Cloud (5%) • Establish Oracle Analytics Cloud environments that are secure, role-ready, and migration-aware 03. Explaining Data Modeling Concepts (5%) • Describe key data modeling concepts for analytics and reporting. 04. Visualizing Data Using Self-Service Analytics (18%) • Create effective data visualizations using self-service analytics features • Design interactive workbooks and storytelling experiences for data analysis • Enhance visual analysis using formatting, calculations, enrichment, and map-based configuration • Manage, share, and extend Oracle Analytics content and environments • Customize and Manage Workbook Presentation and User Experience • Analyze Data and Control Access Using Advanced Workbook Features 05. Preparing Data with Oracle Analytics (5%) • Describe data preparation concepts and dataset capabilities in Oracle Analytics • Prepare and curate datasets for analysis in Oracle Analytics • Configure data access and connectivity for Oracle Analytics 06. Leveraging Advanced Analytics in Oracle Analytics (10%) • Apply advanced analytics and AI-driven capabilities to generate deeper insights in Oracle Analytics • Extend Oracle Analytics through secure data access and embedded analytics capabilities 07. Implementing Machine Learning with Oracle Analytics (14%) • Build and apply machine learning models in Oracle Analytics • Enhance machine learning workflows using data flows and OCI service integration 08. Managing Security and Optimizing Performance in Oracle Analytics (9%) • Monitor and optimize Oracle Analytics performance • Manage Oracle Analytics Cloud security and artifact access www.dbexam.com Oracle 1Z0-1175-26 Line of Business Analytics and Semantic Modeling Certified Professional with Oracle Analytics Cloud 4 09. Working with Semantic Models in Oracle Analytics (20%) • Describe Semantic Model Foundations, Tools, and Collaborative Development • Build and Manage Semantic Model Layers • Implement Advanced Modeling and Analytical Features • Validate, Secure, and Administer Semantic Models S E C T I O N 0 4 What the Credential Is Worth Salary sites do not track Oracle Analytics Cloud as its own job title, so the nearest honest proxy is the Oracle cloud developer role. ZipRecruiter's July 2026 data puts that at an average of about $131,000 a year in the US, with most salaries between $111,500 and $150,000 and the top tenth near $166,500. Analytics roles that combine modeling with self-service delivery sit inside that band; where exactly depends on experience and location. Why this exam, specifically • It is the professional tier: proof you can build analytics, not just consume them. • It covers both layers - the workbook and the semantic model - which few people can. • It maps to real product surface: datasets, data flows, the AI Assistant, application roles, time series functions. • A fifth of the paper is semantic modeling, the skill that is hardest to hire for. There is a practical angle too. Self-service tools made it easy for anyone to draw a chart, and harder to keep numbers consistent across a company. The people who can build a governed model and still deliver the flexible workbooks the business asks for are the ones analytics teams are built around. S E C T I O N 0 5 Getting Certified, Step by Step www.dbexam.com Oracle 1Z0-1175-26 Line of Business Analytics and Semantic Modeling Certified Professional with Oracle Analytics Cloud 5 1 Read the official exam topics end to end Nine topic areas, 22 objectives. Mark every line you cannot demonstrate hands-on. 2 Work the Oracle Analytics Cloud learning path Oracle University's path on MyLearn, plus the product documentation for the areas it does not reach. 3 Study in proportion to the weightings Semantic models 20%, self-service visualization 18%, AI and machine learning 14% each. 4 Build both sides in one instance A blended dataset and a parameter-driven workbook, then a semantic model with a time hierarchy and a role-based data filter. 5 Rehearse, then book through Oracle University Fifty questions in 90 minutes on MyLearn. Passing bar is 70%; book once you are comfortably above it. For the rehearsal, DBExam's 1Z0-1175-26 practice exam mirrors the real format so you can find the gaps before the exam does. Recommended training runs through the Oracle Analytics Cloud learning path named in the fact sheet, on Oracle MyLearn. S E C T I O N 0 6 Oracle 1Z0-1175-26 Exam Sample Questions These ten questions come from DBExam's 1Z0-1175-26 sample questions page, presented here in shuffled order. Note their shape: every one gives a named team a concrete requirement - cache this, switch that measure, hide this column - and asks which feature meets it. Two ask for two answers. The answer key is at the end of the section. Q1. Store managers at Pinecrest Home Goods ask the AI Assistant questions such as "show footfall by store for last week." The indexed store-traffic dataset holds this measure in a column named Visitor Count, and the Assistant keeps returning results that do not use it. Which configuration most directly helps the Assistant match the managers' wording to the correct column? a) Write an AI Description stating that Visitor Count is a daily per-store total b) Add footfall as a synonym for Visitor Count c) Set the dataset's index language to match the footfall prompts d) Mark Visitor Count as Sensitive Data in the dataset's search settings www.dbexam.com Oracle 1Z0-1175-26 Line of Business Analytics and Semantic Modeling Certified Professional with Oracle Analytics Cloud 6 Q2. The HR analytics team at Norland Utilities has five years of employee records in a dataset. Each record carries tenure, pay band, overtime hours and manager changes, plus an Exit Outcome column whose values are Stayed, Resigned and Terminated. The team wants to train a model in a data flow that predicts the Exit Outcome value for current employees. Which Train step should the data flow use? a) Train Binary-Classifier with Exit Outcome as the target column b) Train Numeric Prediction on Exit Outcome c) Train Clustering on the tenure, pay band and overtime columns d) Train Multi-Classifier with Exit Outcome as the target Q3. Wyncliff Freight stores photographs of inbound shipping labels in an OCI Object Storage bucket. The operations analyst needs a dataset that records, for each photograph, the tracking number and consignee name printed on the label, so the values can be joined to delivery records in a workbook. Which data flow configuration produces this dataset? a) An Apply AI Model step using an OCI Vision image classification model b) An Apply AI Model step with an OCI Vision text detection model over the label photographs c) A Database Analytics step using Text Tokenization on the photographs' file names d) An Apply AI Model step using OCI Language key phrase extraction on the label images Q4. A marketing analyst at Aldercrest Media has a canvas of five visualizations showing campaign Spend. Viewers want to switch every visualization between Spend, Leads and Cost per Lead from one control. The analyst wants to avoid maintaining extra canvases. Which approach best meets these requirements? a) A Dashboard Filters visualization with a range filter on each of the three measure columns b) A shared calculation that adds Spend, Leads and Cost per Lead together c) A parameter listing the three measures, used as a column selector in each visualization d) Three canvas copies, one per measure, with two hidden in presentation settings Q5. A sales operations analyst at Delmont Industrial uploads a spreadsheet of quarterly targets as a dataset with the columns Sales Region and Target. Actual revenue comes from a second dataset whose region column is named Region. Both region columns are text and hold the same values. In the workbook, the analyst cannot place Target and the actuals' Region in the same visualization. Which action enables a single visualization of target and actual revenue by region? a) Set both datasets to Live data access in the dataset editor b) Reload the spreadsheet dataset and refresh the workbook data c) Add a Dashboard Filters visualization on Region to the canvas d) Blend the datasets, matching Sales Region to Region www.dbexam.com Oracle 1Z0-1175-26 Line of Business Analytics and Semantic Modeling Certified Professional with Oracle Analytics Cloud 7 Q6. At Larchmont Regional Health, a revenue-cycle analyst owns a curated Claims dataset with Full Control and has shared it with the billing analysts. When the billing analysts search from the home page, older uncurated claims datasets still appear ahead of it. The owner holds the DV Content Author role. What will move the curated dataset up in home page search results? a) An administrator schedules a daily reload of the Claims dataset b) The analyst adds the dataset's main visualizations to a watchlist c) An administrator certifies the Claims dataset d) The analyst grants the billing analysts Read-Write access Q7. Juniper Ridge Hospitality has granted a revenue analyst the DV Content Author application role so she can build datasets and workbooks. She now also needs to create classic analyses and open dashboards that have been shared with the BI Consumer role. The administrator wants to avoid granting roles the analyst does not need. What should the administrator do? a) Nothing more, because DV Content Author already includes BI Content Author and BI Consumer b) Grant BI Content Author as well, because DV Content Author covers only workbooks and datasets c) Grant BI Consumer as well, because author roles do not carry permission to view shared dashboards d) Replace DV Content Author with BI Service Administrator, which covers reports, dashboards and workbooks Q8. Northfield Supply's procurement team uses a dataset built on a supplier-spend table in an Oracle database. Buyers open the spend workbooks every morning while the database is busy with batch jobs, so the team wants workbooks to read a cached copy loaded overnight. If an overnight load fails, the workbooks must keep showing the previous successful load rather than querying the database directly. Which data access setting should the dataset owner choose for the table? a) Extracted, so queries always read the cache and a failed reload leaves the last good load in place for workbooks b) Automatic Caching, so queries read the cache and a failed load switches the table to live queries c) Live, so each query goes straight to the database and returns the newest committed rows d) Live with a nightly reload schedule, so the database is read after each scheduled load www.dbexam.com Oracle 1Z0-1175-26 Line of Business Analytics and Semantic Modeling Certified Professional with Oracle Analytics Cloud 8 Q9. Aldermoor Utilities' finance team reports monthly Billed Amount. The Time dimension is a time hierarchy with chronological keys on every level, and its Year, Quarter and Month levels are defined. The team needs two new measures: a year-to-date billed amount that restarts each calendar year, and the billed amount for the same month of the previous year. Which two time series expressions meet these requirements? (choose two) a) PERIODROLLING with Billed Amount and offsets of -11 and 0 b) TODATE with Billed Amount and the Month level c) TODATE with Billed Amount and the Year level d) AGO with Billed Amount, the Year level and an offset of 12 periods e) AGO with Billed Amount, the Month level and an offset of 12 periods Q10. Everline Insurance deploys an HR semantic model. Two requirements apply to every workbook and analysis built on the HR subject area, including queries whose Logical SQL a user edits: members of the HR Manager application role see only employee rows for their own department, and members of the Contractor application role do not see the Salary column. Which two actions should the developer take in the semantic model? (choose two) a) Add a role-based filter for the HR Manager role to each dataset created from the subject area b) Add a data filter for the HR Manager role on the Employee logical table using a session variable c) Add a data filter for the Contractor role on the Employee logical table that uses a static variable d) Set the permission on the Salary presentation column to deny for the Contractor role e) Set a query limit for the Contractor role on the HR subject area to restrict Salary rows Answer key Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 b d b c d c a a c, e b, d S E C T I O N 0 7 Where to Go Next Read what other practitioners are running into on the Oracle community before you book - semantic model deployment and dataset access questions surface there first. The DBExam 1Z0-1175-26 exam page keeps the syllabus, sample questions and practice exams in one place. Quick reference • Official exam page — mylearn.oracle.com • Exam syllabus + practice test — dbexam.com/oracle • Community threads — forums.oracle.com • Scheduling — oracle.com/education/training/buy www.dbexam.com Oracle 1Z0-1175-26 Line of Business Analytics and Semantic Modeling Certified Professional with Oracle Analytics Cloud 9 Before you book — the guide in one card Exam number 1Z0-1175-26 Passing score 70% Questions 50 Duration 90 minutes Fee USD 245 Delivery Oracle University / MyLearn Topic areas 9 Objectives 22 Heaviest area Semantic Models (20%) Next heaviest Self-Service Visualization (18%) Good luck - and remember what the blueprint is really asking: not "can you draw a chart?", but "can you make the whole company trust the number in it?"