NA03

Which of the following methods is the most efficient for importing data into Oracle Cloud Fusion Analytics Warehouse?. A. Using the Import Data feature within the Data Visualization section. B. Uploading a CSV file through the Cloud Console. C. Using Oracle GoldenGate to replicate data from an on-premises database. D. Manually typing data into the Data Visualization section.

Which of the following best describes the use case for Oracle Cloud Fusion Analytics Warehouse 2023's Predictive Analytics service?. A. Predict future outcomes based on past data trends. B. Collect and analyze data from disparate sources. C. Visualize data in real-time dashboards for easy analysis. D. Perform ad-hoc queries on large datasets.

In Oracle Cloud Fusion Analytics Warehouse 2023, which of the following statements is true about data compression options in Oracle Autonomous Data Warehouse (ADW)?. A. ADW supports both columnar and row-based compression techniques for all data types. B. ADW only supports columnar compression technique for numeric and timestamp data types. C. ADW only supports row-based compression technique for character and date data types. D. ADW supports both columnar and row-based compression techniques only for tables created using Data Pump import.

Which feature of Oracle Cloud Fusion Analytics Warehouse 2023 allows users to visualize data and create interactive reports and dashboards?. A. Data Integration. B. Data Exploration. C. Data Modeling. D. Data Transformation.

Which option allows you to efficiently move large amount of data into Oracle Cloud Fusion Analytics Warehouse?. A. Using Oracle Data Integration Platform Cloud. B. Using Oracle Data Warehouse Cloud Service. C. Using Oracle Analytics Cloud. D. Using Oracle Big Data Cloud Service.

In the Oracle Cloud Fusion Analytics Warehouse 2023, which feature allows users to create interactive visualizations and dashboards?. A. Data Preparation. B. Data Visualization. C. Data Warehousing. D. Data Catalog.

In the Data Visualization section of Oracle Cloud Fusion Analytics Warehouse 2023, which feature allows users to create intuitive and interactive visualizations?. A. Data modeling. B. Data enrichment. C. Data visualization. D. Data transformation.

Which Oracle Cloud Infrastructure security feature encrypts data at rest and automates key management for databases?. A. Access Control Lists. B. Security Zones. C. Key Management. D. Audit Services.

Which feature of Oracle Cloud Fusion Analytics Warehouse allows users to analyze and visualize data in real-time?. A. Data Exploration. B. Data Flow. C. Data Integration. D. Data Visualization.

What is the primary advantage of using data dashboards and reports in Oracle Cloud Fusion Analytics Warehouse 2023?. A. Real-time data visualization for quick decision making. B. Automated data extraction and transformation. C. Support for unstructured data analysis. D. Advanced statistical modeling capabilities.

What is a key feature of Oracle Cloud Fusion Analytics Warehouse?. A. Ability to ingest and analyze massive volumes of data from multiple sources. B. Limited scalability and performance. C. Only supports structured data. D. Requires complex data transformations to access insights.

What is the advantage of using Oracle Analytics Cloud (OAC) compared to traditional Business Intelligence (BI) tools?. A. OAC provides a more robust security infrastructure and data governance capabilities. B. OAC offers more customization options for dashboards and reports. C. OAC has a better performance for large-scale data sets. D. OAC does not require a data warehouse and can directly connect to data sources.

What is the purpose of the Oracle Cloud Fusion Analytics Warehouse?. A. To store, process, and analyze large amounts of data from various sources to provide insights and drive business decisions. B. To store and archive data for long-term storage and backup purposes. C. To provide a collaborative workspace for employees to share and analyze data in real-time. D. To provide a platform for developing and deploying machine learning models.

In the context of data governance in Oracle Cloud Fusion Analytics Warehouse 2023, which of the following best describes the purpose of data classification?. A. To ensure data privacy and compliance with regulations. B. To define data quality standards and metrics. C. To categorize data based on its business value and sensitivity. D. To track data lineage and traceability.

Which of the following options is NOT a feature of Oracle Cloud Fusion Analytics Warehouse?. A. Real-time data processing. B. Machine learning and AI capabilities. C. Automatic data backup and recovery. D. Customizable data visualization.

Which activity should be performed to optimize a dashboard in Oracle Cloud Fusion Analytics Warehouse 2023?. A. Remove unnecessary filters to reduce the amount of data that needs to be loaded. B. Add more visuals to the dashboard to provide more information. C. Increase the time range for the data in the dashboard to display more historical data. D. Change the visualization type of the visuals to make them more visually appealing.

Which feature of Oracle Cloud Fusion Analytics Warehouse 2023 allows users to identify patterns and relationships within large datasets using statistical algorithms and machine learning techniques?. A. Data Visualization. B. Data Catalog. C. Data Lake. D. Data Science.

Which feature of Oracle Cloud Fusion Analytics Warehouse 2023 is used to protect sensitive data?. A. Data Masking. B. Data Integration. C. Data Catalog. D. Data Visualization.

In Oracle Cloud Fusion Analytics Warehouse, which of the following best describes a dashboard?. A. A graphical representation of data that provides a quick overview of key metrics and trends. B. A visual display of aggregated data from multiple sources that can be customized and shared with others. C. A collection of reports that can be grouped together based on business function or topic. D. A tool for creating ad-hoc queries and analyzing data in real-time.

Which of the following statements regarding the integration of Oracle Cloud Fusion Analytics Warehouse with external data sources is true?. A. External data sources can be connected through pre-built adapters only. B. All external data sources must be replicated on-premises before they can be connected to Oracle Cloud Fusion Analytics Warehouse. C. Oracle Cloud Infrastructure Data Catalog allows external data sources to be defined and connected to Oracle Cloud Fusion Analytics Warehouse. D. Oracle Cloud Fusion Analytics Warehouse does not support the integration of data from external data sources.

Which of the following machine learning techniques is best suited for anomaly detection in time series data with a large number of features?. A. Random forest. B. Support vector machines. C. K-means clustering. D. Autoencoder.

In the context of data governance in Oracle Cloud Fusion Analytics Warehouse 2023, what are the benefits of using data classification? Data classification allows you to: 1. Identify sensitive data and apply appropriate security controls 2. Improve data quality and accuracy 3. Automate data governance processes 4. Streamline data ingestion and transformation workflows. A. Identify sensitive data and apply appropriate security controls. B. Improve data quality and accuracy. C. Automate data governance processes. D. Streamline data ingestion and transformation workflows.

Which feature of Oracle Cloud Fusion Analytics Warehouse 2023 is recommended for improving security and performance?. A. Multi-Factor Authentication (MFA). B. Data Masking. C. Automatic Indexing. D. Cloud Guard.

Which feature of Oracle Cloud Fusion Analytics Warehouse 2023 can help increase the security and performance of your data analysis?. A. Role-based access control. B. Automatic data masking. C. Real-time data encryption. D. Performance monitoring and tuning.

Which of the following statements is true regarding Materialized Views in Oracle Cloud Fusion Analytics Warehouse 2023?. A. Materialized Views are used to store the result of a complex query and can be refreshed automatically or manually. B. Materialized Views have the same performance as regular Views and can be dropped automatically by the system. C. Materialized Views are created using the CREATE TABLE AS SELECT statement and have the same structure as the underlying tables. D. Materialized Views are always up-to-date with the underlying tables and do not require any maintenance.

In a finance department's data visualization dashboard, which visual representation would be the best choice to show the comparison between actual revenue and forecasted revenue for each quarter of the current fiscal year?. A. Stacked bar chart. B. Line chart. C. Scatter plot. D. Heat map.

Which predictive analytics technique can be used to analyze customer behavior patterns and make recommendations for personalized marketing campaigns?. A. Association rules. B. Decision trees. C. Gaussian mixture models. D. Linear regression.

What is the main purpose of Oracle Analytics Cloud (OAC)?. A. To provide data visualization and self-service reporting capabilities. B. To provide cloud infrastructure services to host websites. C. To provide a platform for building and deploying machine learning models. D. To provide database management services for Oracle databases.

What is the advantage of using dynamic scaling in Oracle Cloud Fusion Analytics Warehouse?. A. It reduces storage costs by automatically scaling down the size of the warehouse when not in use. B. It automatically adjusts the size of the warehouse based on real-time data volumes, ensuring optimal performance. C. It allows for easy integration with external data sources, enabling real-time analysis. D. It improves query performance by caching frequently accessed data in memory.

In the context of Oracle Cloud Fusion Analytics Warehouse, which service provides a fully managed data integration platform for integrating data from various sources?. A. Oracle Autonomous Data Warehouse. B. Oracle Integration. C. Oracle Analytics Cloud. D. Oracle Data Integrator.

What is the process for integrating data from an external system into Oracle Cloud Fusion Analytics Warehouse?. A. Use the Data Integration Platform Cloud (DIPC) to create data mappings and extract data from the external system using the ETL process. B. Use the Analytics Data Integration Cloud Service (ADICS) to extract, transform, and load data from the external system into the cloud warehouse. C. Use the Hadoop Distributed File System (HDFS) to export data from the external system and then create a custom data loader in Oracle Cloud Fusion Analytics Warehouse to import the data. D. Use Oracle Integration Cloud Service (OICS) to connect to the external system and use the ETL process to load the data into the cloud warehouse.

What is the benefit of using Oracle Cloud Infrastructure (OCI) FastConnect?. A. It reduces internet connectivity costs by routing traffic through Oracle's private network. B. It increases security within the Cloud Environment. C. It allows for fast and affordable data transfers between on-premises and the Cloud Environment. D. It provides automatic failover in the event of an outage.