Get 1z0-1110-23 Actual Free Exam Q&As to Prepare for Your Oracle Certification [Q21-Q39]

NO.21 You are a data scientist working for a utilities company. You have developed an algorithm that detects anomalies from a utility reader in the grid. The size of the model artifact is about 2 GB, and you are trying to store it in the model catalog. Which three interfaces could you use to save the model artifact into the model catalog?

NO.22 Which Oracle Accelerated Data Science (ADS) classes can be used for easy access to data sets from reference libraries and index websites such as scikit-learn?

NO.23 As a data scientist, you are working on a global health data set that has data from more than 50 countries. You want to encode three features such as ‘countries’, ‘race’ and ‘body organ’ as categories.
Which option would you use to encode the categorical feature?

NO.24 You have created a Data Science project in a compartment called Development and shared it with a group of collaborators. You now need to move the project to a different compartment called Production after completing the current development iteration.
Which statement is correct?

NO.25 You are building a model and need input that represents data as morning, afternoon, or evening.
However, the data contains a time stamp. What part of the Data Science life cycle would you be in when creating the new variable?

NO.26 The Oracle AutoML pipeline automates hyperparameter tuning by training the model with different parameters in parallel. You have created an instance of Oracle AutoML as ora-cle_automl and now you want an output with all the different trials performed by Oracle Au-toML. Which of the following command gives you the results of all the trials?

NO.27 You are a data scientist trying to load data into your notebook session. You understand that Accelerated Data Science (ADS) SDK supports loading various data formats. Which of the following THREE are ADS supported data formats?

NO.28 Which Oracle Cloud Infrastructure (OCI) service should you use to create and run Spark applications using ADS?

NO.29 What preparation steps are required to access an Oracle AI service SDK from a Data Science notebook session?

NO.30 Which TWO statements are true about published conda environments?

NO.31 3. When preparing your model artifact to save it to the Oracle Cloud Infrastructure (OCI) Data Science model catalog, you create a score.py file. What is the purpose of the score.py file?

NO.32 You are a data scientist working inside a notebook session and you attempt to pip install a package from a public repository that is not included in your conda environment. After running this command, you get a network timeout error.
What might be missing from your networking configuration?

NO.33 You are a computer vision engineer building an image recognition model. You decide to use Oracle Data Labeling to annotate your image data. Which of the following THREE are possible ways to annotate an image in Data Labeling?

NO.34 Youare a data scientist working for a manufacturing company. You have developed a forecasting model to predict the sales demand in the upcoming months. You created a model artifact that contained custom logic requiring third party libraries. When you deployed the model, it failed to run because you did not include all the third party dependencies in the model artifact. What file should be modified to include the missing libraries?

NO.35 While reviewing your data, you discover that your data set has a class imbalance. You are aware that the Accelerated Data Science (ADS) SDK provides multiple built-in automatic transformation tools for data set transformation. Which would be the right tool to correct any imbalance between the classes?

NO.36 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?

NO.37 Which feature of the Oracle Cloud Infrastructure (OCI) Vision service helps you generate in-dexing tags for a collection of marketing photographs?

NO.38 As a data scientist, you create models for cancer prediction based on mammographic images.
The correct identification is very crucial in this case. After evaluating two models, you arrive at the following confusion matrix.
Model 1 has Test accuracy is 80% and recall is 70%.
* Model 2 has Test accuracy is 75% and recall is 85%.
Which model would you prefer and why?

NO.39 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?