Oracle Oracle Sales Business Process Foundations Associate Rel 2 1z0-1108-2 Exam Dumps: Updated Questions & Answers (October 2025)

The Develop Initial Dialog process initiates engagement with prospects showing intent. "A prospect posts a query on features or pricing" (B) is a clear input, as it provides a trigger for dialog based on social listening. "Posting a white paper link" (A) is an output, not an input. "Starting a conversation" (C) is the process itself, not an input. "Analytics of clicking patterns" (D) is background data, not a direct dialog trigger. The original "Ans: 5" seems a typo; corrected to B based on context.

Forecasting output in Oracle CX Sales relies on initial factors that predict revenue. "Win Probability" (B) estimates success likelihood, weighting the forecast. "Sales Stages" (C) show pipeline position, affecting timing and certainty. "Close Date" (D) determines when revenue is expected, critical for period-based forecasts. "Estimated Commission" (A) is a sales incentive, not a direct forecasting factor. The answer (Ans: 2, 3, 4) reflects Oracle’s focus on probability, stage, and timing in forecasting.

In Oracle CX Sales, the Convert Lead to Opportunity process involves operational and oversight roles. The "Sales Manager" (C) supervises the conversion, ensuring quality. The "Sales Representative" (D) executes it, qualifying and converting leads. The "Partner Sales Representative" (A) and "Channel Account Manager" (B) are channel-specific, while the "Channel Sales Manager" (E) focuses on channel strategy, not direct conversion. The corrected answer (Ans: 3, 4) fits Oracle’s standard sales process.

In Oracle CX Sales, the "Partner Sales Representative" (E), Danielle, becomes the opportunity owner after converting a lead, as they manage the sales cycle post-conversion in the channel process. "Edward" (A), Channel Sales Manager, and "Anita" (B), Channel Account Manager, oversee strategy and assignments, not ownership. "Chris" (C), Service Representative, is unrelated. "Bob" (D), Partner Sales Manager, supervises but doesn’t own opportunities. The answer (Ans: 5) reflects Oracle’s ownership rules.

Social listening in Oracle CX Sales involves proactively tracking social media for insights into prospect behavior. "Monitoring social media for buyer digital body language, buying cues, and recommendations" (D) best defines this, as it focuses on identifying purchase intent and engagement opportunities. "Monitoring websites for opinions" (A) is narrower, "responding to complaints" (B) is reactive, and "paying influencers" (C) is a marketing tactic, not listening. Answer (Ans: 4) aligns with Oracle’s prospect engagement strategy.

Analyzing customer onboarding calls falls to sales roles directly involved with the account. "Charles" (A), the Sales Representative, handles day-to-day interactions and gathers insights from calls. "Carole" (C), the Sales Manager, oversees the process and ensures alignment with sales goals. "Catherine" (D), "Carlos" (E), and "Clarice" (B) are higher-level or marketing roles, less involved in operational analysis. The corrected answer (Ans: 1, 3) fits Oracle’s sales team responsibilities.

A Sales Manager evaluates and prioritizes opportunities based on key parameters that indicate the likelihood of success and the urgency of the deal. "Sales Stage" (A) reflects the current progress of the opportunity in the sales pipeline, helping the manager assess how close it is to closing. "Close Date" (B) indicates the timeline, allowing prioritization of opportunities that are nearing their deadline. "Win Probability" (D) is a critical metric in Oracle CX Sales, providing a percentage likelihood of winning the deal, which helps in focusing efforts on high-potential opportunities. While "Product" (C) and "Revenue" (E) are important details, they are typically secondary to the core prioritization metrics of stage, timing, and probability. The corrected answer (RDS: 1-2-4) aligns with Oracle’s emphasis on pipeline management and forecasting.

In Oracle CX Sales, categorizing opportunities by attributes like product groups or geographies is called "Opportunity Grouping" (E), a term for segmentation analysis. "Sales Group" (A) refers to teams. "Sales Pipeline" (B) tracks progress, not categories. "Revenue Collection" (C) is unrelated. "Sales Forecast" (D) predicts revenue, not categorization. The answer (Ans: 5) matches Oracle’s terminology.

In the Oracle CX Sales channel process, the "Partner Sales Representative" (D) qualifies channel leads, as they work directly with prospects to assess fit and potential. The "Channel Sales Manager" (A) and "Channel Account Manager" (B) oversee channel strategy and partner assignments, not lead qualification. The "Sales Manager" (C) manages direct sales teams, while the "Sales Director" (E) is too senior for this task. The answer (Ans: 4) reflects Oracle’s partner-centric lead qualification process.

In Oracle CX Sales, lead ranking rules prioritize leads based on relevant data. "Contact Profile Data" (A) includes individual details (e.g., role, engagement), critical for ranking. "Lead Data" (B) encompasses lead-specific attributes (e.g., score, source), the foundation of ranking. "Customer Profile Data" (D) provides account-level insights (e.g., size, industry), enhancing prioritization. "Opportunity Revenue Data" (C) applies post-conversion, not to lead ranking. The answer (Ads: 1, 2, 4) aligns with Oracle’s lead management framework.