Which aspect is crucial when determining data sources in Oracle OAC?

Prepare for the Asian Development Bank Certification Exam. Enhance your skills with flashcards and multiple-choice questions, each featuring helpful hints and detailed explanations. Get ready to succeed in your exam!

Evaluating performance and connectivity is crucial when determining data sources in Oracle OAC (Oracle Analytics Cloud). This aspect is essential because an effective data source should not only provide accurate and reliable data but also ensure that the performance aligns with the needs of your analytics processes. Good connectivity allows for seamless data retrieval and real-time updates, which are vital for making timely and informed decisions based on analytics.

Performance considerations include how quickly data can be accessed and processed, which directly impacts the user experience, especially for large datasets or complex queries. Connectivity ensures that the chosen data sources can be integrated into the OAC environment without issues, facilitating smooth interactions between the analytics platform and the databases.

The other options do not prioritize the holistic requirements for selecting data sources in a comprehensive manner. For instance, focusing only on legacy systems could limit access to more efficient and innovative data solutions. Solely concentrating on cloud databases neglects potential valuable on-premises data sources that might not be cloud-based. Disregarding data refresh rates would undermine the importance of timely data, as analytics rely on current information to be relevant and actionable. By prioritizing performance and connectivity, a more robust and effective data strategy can be established in Oracle OAC.

Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy