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Oracle 1Z0-1110-26 Exam Syllabus Topics:

Oracle Cloud Infrastructure Data Science Professional Sample Questions:

1. You are a computer vision engineer building an image recognition model. You decide to use Oracle Data Labeling to annotate your image dat a. Which of the following THREE are possible ways to annotate an image in Data Labeling?

A) Adding labels to an image using object detection, by drawing bounding boxes to an image
B) Adding multiple labels to an image
C) Adding labels to an image using semantic segmentation, by drawing multiple bounding boxes to an image
D) Adding labels to an image by drawing a bounding box to an image is not supported by Data Labeling
E) Adding a single label to an image

2. You realize that your model deployment is about to reach its utilization limit. What would you do to avoid the issue before requests start to fail? Pick THREE.

A) Update the deployment to add more instances
B) Update the deployment to use a larger virtual machine (more CPUs/memory)
C) Update the deployment to use fewer instances
D) Reduce the load balancer bandwidth limit so that fewer requests come in
E) Delete the deployment

3. Which model has an open-source, open model format that allows you to run machine learning models on different platforms?

A) PySpark
B) ONNX
C) TensorFlow
D) PyTorch

4. How can you collaborate with team members in OCI Data Science Workspace?

A) By granting access to specific notebooks and files
B) By sharing the workspace instance with other users
C) By using version control systems integrated with the workspace
D) By enabling chat and video conferencing within the workspace

5. What is a common maxim about data scientists?

A) They spend 80% of their time on failed analytics projects and 20% doing useful work.
B) They spend 80% of their time finding and preparing data and 20% analyzing it.
C) They spend 80% of their time analyzing data and 20% finding and preparing it.

Solutions: