Which statement about Oracle Cloud Infrastructure Data Science Jobs is true?
Correct Answer: A
Detailed Answer in Step-by-Step Solution: Objective: Identify a true statement about OCI Data Science Jobs. Understand OCI Jobs: Jobs automate ML tasks (e.g., training) on managed infrastructure. Evaluate Options: A: True—Jobs provision OCI compute resources on-demand for task execution. B: False—Users define custom tasks (e.g., Python scripts), not limited to standard ones. C: False—Infrastructure is fully managed by OCI, not user-managed. D: False—Multiple artifacts (e.g., ZIP with dependencies) can be used, not just one file. Reasoning: A reflects OCI’s managed, on-demand provisioning model for Jobs. Conclusion: A is correct. The OCI Data Science documentation states: “Jobs provision compute infrastructure on-demand to execute user-defined tasks, such as model training or data processing, on fully managed OCI resources.” B is incorrect (customization is allowed), C contradicts the managed nature, and D misstates artifact flexibility—only A accurately describes Jobs. 1: Oracle Cloud Infrastructure Data Science Documentation, "Jobs Overview".
Question 17
How can you convert a fixed load balancer to a flexible load balancer?
Correct Answer: C
Detailed Answer in Step-by-Step Solution: Objective: Convert fixed to flexible load balancer in OCI. Understand Load Balancers: Fixed (e.g., 10 Mbps) vs. flexible (dynamic shapes). Evaluate Options: A: False—Conversion possible via recreation. B: Update Shape—For flexible only, not conversion. C: Delete and recreate—Standard method—correct. D: Edit Listener—Configures rules, not type. Reasoning: OCI requires new creation for type change. Conclusion: C is correct. OCI documentation states: “To change from a fixed to a flexible load balancer, delete the existing fixed load balancer and create a new flexible one (C)—direct conversion isn’t supported.” A is too absolute, B and D don’t apply—only C matches OCI’s process. 1: Oracle Cloud Infrastructure Load Balancing Documentation, "Changing Load Balancer Type".
Question 18
Which statement about logs for Oracle Cloud Infrastructure Jobs is true?
Correct Answer: C
Detailed Answer in Step-by-Step Solution: Objective: Identify a true statement about OCI Jobs logging. Understand Logging: Jobs can log stdout/stderr to OCI Logging service. Evaluate Options: A: False—Each run has its own log, not a single job log. B: False—Logging is optional, not mandatory. C: True—When enabled, stdout/stderr are auto-captured. D: False—Logs persist unless explicitly deleted. Reasoning: C matches OCI’s automatic logging feature. Conclusion: C is correct. OCI documentation states: “When automatic log creation is enabled for Data Science Jobs, all stdout and stderr outputs are captured and stored in the OCI Logging service.” A is incorrect (per-run logs), B is optional, and D contradicts log retention—only C is accurate. 1: Oracle Cloud Infrastructure Data Science Documentation, "Jobs Logging".
Question 19
You are working as a data scientist for a healthcare company. They decide to analyze the data to find patterns in a large volume of electronic medical records. You are asked to build a PySpark solution to analyze these records in a JupyterLab notebook. What is the order of recommended stepsto develop a PySpark application in Oracle Cloud Infrastructure (OCI) Data Science?
Correct Answer: D
Detailed Answer in Step-by-Step Solution: Objective: Sequence steps for PySpark app development. Steps: Launch notebook: First—sets up environment. Install PySpark conda: Second—adds Spark libraries. Configure core-site.xml: Third—connects to data. Develop app: Fourth—writes code. Data Flow: Fifth—scales (optional). Evaluate: D (1, 2, 3, 4, 5) matches this logical order. Reasoning: Notebook first, then setup and coding. Conclusion: D is correct. OCI documentation states: “1) Launch a notebook session, 2) install a PySpark conda env, 3) configure core-site.xml, 4) develop your PySpark app, 5) optionally use Data Flow (D).” Other orders (A, B, C) misplace notebook launch or config—D is correct. 1: Oracle Cloud Infrastructure Data Science Documentation, "PySpark Development".
Question 20
You are given the task of writing a program that sorts document images by language. Which Oracle service would you use?
Correct Answer: B
Detailed Answer in Step-by-Step Solution: Objective: Identify the Oracle service to sort document images by language. Task Breakdown: Requires extracting text from images (OCR) and detecting language—two potential services involved. Evaluate Options: A . Oracle Digital Assistant: Builds chatbots—irrelevant to image or language processing. B . OCI Language: Detects and classifies languages in text—ideal for sorting after text extraction. C . OCI Speech: Transcribes audio to text—not applicable to images. D . OCI Vision: Performs OCR to extract text from images—necessary but not sufficient for language sorting. Reasoning: The task emphasizes “sorting by language.” OCI Vision extracts text, but OCI Language identifies the language (e.g., English, Spanish). Since the question asks for one service and focuses on sorting, OCI Language (B) is the best fit, assuming text extraction is a precursor step. Conclusion: B is correct. OCI Language “provides language detection and classification capabilities, enabling identification of languages in text extracted from documents,” per the documentation. OCI Vision handles OCR, but the sorting task aligns with OCI Language (B). Digital Assistant (A) and Speech (C) don’t apply, and while Vision (D) is a prerequisite, B is the primary service for language sorting as per OCI’s AI service design. 1: Oracle Cloud Infrastructure Language Documentation, "Language Detection Features".
