Oracle Data Platform 2025 Foundations Associate Intermediate Practice Exam: Medium Difficulty 2025

A retail company wants to build a comprehensive data platform that ingests data from on-premises databases, processes it in the cloud, and provides both operational dashboards and ad-hoc analytics. They need to balance cost, performance, and flexibility. Which Oracle Data Platform architecture component combination would BEST meet these requirements?

Your organization is migrating legacy ETL jobs to OCI Data Integration. The existing process extracts data from multiple Oracle databases, applies complex transformations including lookups and aggregations, and loads data into a data warehouse. Some transformations require custom business logic. What is the MOST appropriate approach for this migration?

A data engineer needs to design an ETL pipeline that ingests streaming IoT sensor data, combines it with reference data from a relational database, and loads the results into a data warehouse every 15 minutes. The solution must handle late-arriving data and provide monitoring capabilities. Which OCI services combination addresses these requirements?

An analytics team reports that queries on their Autonomous Data Warehouse are running slower during business hours. The warehouse stores 5 years of sales data with 2TB currently loaded. Most queries access the most recent 6 months of data. What combination of features should be implemented to optimize query performance?

Your company needs to provide business analysts with self-service access to data in the Autonomous Data Warehouse while maintaining row-level security based on the user's department. Analysts should be able to create their own reports without writing SQL. What is the BEST approach to implement this requirement?

A financial services company needs to analyze both structured transaction data (currently in Autonomous Database) and unstructured customer interaction logs (in various formats). They want to run SQL queries across both datasets. Which architectural approach enables this requirement while maintaining performance and cost-effectiveness?

Your data science team needs to process large volumes of clickstream data (200GB daily) to identify customer behavior patterns. The data arrives in JSON format and requires complex transformations including sessionization and feature engineering before analysis. Which OCI Big Data service combination is MOST appropriate?

A company is building a data lake on OCI Object Storage. They need to organize data from multiple source systems, maintain data quality, support both batch and interactive queries, and provide data governance capabilities including lineage tracking. What approach best implements these requirements?

An e-commerce platform needs to integrate real-time inventory updates from multiple warehouses into their central data warehouse. Updates must be processed with minimal latency (under 5 seconds) and the solution must handle network interruptions gracefully. Which integration pattern and OCI services should be used?

A media company stores petabytes of video files and associated metadata in a data lake. They need to enable data scientists to discover relevant datasets, understand data quality, and track data lineage from source systems through transformations. What OCI service addresses these data governance requirements?