Oracle Cloud Infrastructure Data Science 2023 Professional - 1z0-1110-23 FREE EXAM DUMPS QUESTIONS & ANSWERS]

Question 1

Six months ago, you created and deployed a model that predicts customer churn for a call center. Initially, it was yielding quality predictions. However, over the last two months, users have been questioning the credibility of the predictions. Which TWO methods customer churn would you employ to verify the accuracy of the model?

A. Drift monitoring B. Validate the model using recent data C. Redeploy the model D. Operational monitoring E. Retrain the model

Discussion 0

Correct Answer: B,E Vote an answer

Question 2

During a job run, you receive an error message that no space is left on your disk device. To solve the problem, you must increase the size of the job storage. What would be the most effi-cient way to do this with Data Science Jobs?

A. Your code using too much disk space. Refactor the code to identify the problem. B. On the job run, set the environment variable that helps increase the size of the storage. C. Create a new job with increased storage size and then run the job. D. Edit the job, change the size of the storage of your job, and start a new job run.

Discussion 0

Correct Answer: D Vote an answer

Question 3

You have a complex Python code project that could benefit from using Data Science Jobs as it is a repeatable machine learning model training task. The project contains many subfolders and classes.
What is the best way to run this project as a Job?

A. ZIP the entire code project folder and upload it as a Job artifact. Jobs automatically identifies the_main_ top level where the code is run. B. ZIP the entire code project folder, upload it as a Job artifact on job creation, and set JOB_RUN_ENTRYPOINT to point to the main executable file. C. ZIP the entire code project folder and upload it as a Job artifact on job creation. Jobs identifies the main executable file automatically. D. Rewrite your code so that it is a single executable Python or Bash/Shell script file.

Discussion 0

Correct Answer: B Vote an answer

Question 4

You have just completed analyzing a set of images by using Oracle Cloud Infrastructure (OCI) Data Labelling, and you want to export the annotated data. Which two formats are supported?

A. Data Labelling Service Proprietary JSON B. COCO C. Spacy D. CONLL V2003

Discussion 0

Correct Answer: B,C Vote an answer

Question 5

You are a data scientist leveraging the Oracle Cloud Infrastructure (OCI) Language AI service for various types of text analyses. Which TWO capabilities can you utilize with this tool?

A. Punctuation correction B. Sentence diagramming C. Topic classification D. Sentiment analysis E. Table extraction

Discussion 0

Correct Answer: C,D Vote an answer

Question 6

During a job run, you receive an error message that no space is left on your disk device. To solve the problem, you must increase the size of the job storage. What would be the most efficient way to do this with Data Science Jobs?

A. On the job run, set the environment variable that helps increase the size-of the storage. B. Your code is using too much disk space. Refactor the code to identify the problem. C. Create a new job with increased storage size and then run the job. D. Edit the job, change the size of the storage of your job, and start a new job run.

Discussion 0

Correct Answer: D Vote an answer

Question 7

As a data scientist, you are trying to automate a machine learning (ML) workflow and have decided to use Oracle Cloud Infrastructure (OCI) AutoML Pipeline.
Which three are part of the AutoML Pipeline?

A. Adaptive Sampling B. Feature Selection C. Feature Extraction D. Algorithm Selection E. Model Deployment

Discussion 0

Correct Answer: A,B,E Vote an answer

Question 8

You have created a conda environment in your notebook session. This is the first time you are working with published conda environments. You have also created an Object Storage bucket with permission to manage the bucket.
Which two commands are required to publish the conda environment?

A. conda activate /home/datascience/conda/<SLUG> B. odsc conda list --override C. odsc conda init --bucket_namespace <NAMESPACE> --bucket_name <BUCKET> D. odsc conda create --file manifest.yaml E. odac conda publish --slug <SLUG>

Discussion 0

Correct Answer: C,E Vote an answer