Oracle 1z0-1110-23 Exam Dumps - PDF Questions and Testing Engine
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Oracle 1z0-1110-23 Exam Syllabus Topics:
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NEW QUESTION # 12
You loaded data into Oracle Cloud Infrastructure (OCI) Data Science. To transform the data, you want to use the Accelerated Data Science (ADS) SDK. When you applied the get_recommendations () tool to the ADSDataset object, it showed you user-detected issues with all the recommended changes to apply to the dataset. Which option should you use to apply all the recommended transformations at once?
- A. fit_transform()
- B. auto_transform()
- C. visualize_transforms ()
- D. get_transformed_dataset ()
Answer: B
NEW QUESTION # 13
Select two reasons why it is important to rotate encryption keys when using Oracle Cloud Infrastructure (OCI) Vault to store credentials or other secrets.
- A. Key rotation improves encryption efficiency.
- B. Key rotation allows you to encrypt no more than five keys at a time.
- C. Periodically rotating keys limits the amount of data encrypted by one key version.
- D. Key rotation reduces risk if a key is ever compromised.
- E. Periodically rotating keys make it easier to reuse keys.
Answer: C,D
NEW QUESTION # 14
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. Sentiment analysis
- B. Sentence diagramming
- C. Punctuation correction
- D. Table extraction
- E. Topic classification
Answer: A,E
NEW QUESTION # 15
The Accelerated Data Science (ADS) model evaluation classes support different types of machine learning modeling techniques. Which three types of modeling techniques are supported by ADS Evaluators?
- A. K-means Clustering
- B. Multiclass Classification
- C. Principal Component Analysis
- D. Binary Classification
- E. Recurrent Neural Network
- F. Regression Analysis
Answer: B,D,F
NEW QUESTION # 16
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?
- A. requirements.txt
- B. runtime.yaml
- C. score.py
- D. model_artifact_validate.py
Answer: A
NEW QUESTION # 17
You want to write a Python script to create a collection of different projects for your data science team. Which Oracle Cloud Infrastructure (OCI) Data Science interface would you use?
- A. Command line interface (CLI)
- B. Mobile App
- C. The OCI Software Development Kit (SDK)
- D. OCI Console
Answer: C
NEW QUESTION # 18
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?
- A. Model 1, because the test accuracy is high.
- B. Model 2, because recall has more impact on predictions in this use se.
- C. Model 1, because recall has lesser impact on predictions in this use case
- D. Model 2, because recall is high.
Answer: B
NEW QUESTION # 19
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. Create a new job with increased storage size and then run the job.
- B. Edit the job, change the size of the storage of your job, and start a new job run.
- C. On the job run, set the environment variable that helps increase the size-of the storage.
- D. Your code is using too much disk space. Refactor the code to identify the problem.
Answer: B
NEW QUESTION # 20
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. COCO
- B. Data Labelling Service Proprietary JSON
- C. Spacy
- D. CONLL V2003
Answer: A,C
NEW QUESTION # 21
As a data scientist, you have stored sensitive data in a database. You need to protect this data by using a master encryption algorithm, which uses symmetric keys. Which master encryption algorithm would you choose in the Oracle Cloud Infrastructure (OCI) Vault service?
- A. Elliptical Curve Cryptography Digital Signature Algorithm
- B. Advanced Encryption Standard Keys
- C. Rivert-Shamir-Adleman Keys
- D. Triple Data Encryption Standard Algorithm
Answer: B
NEW QUESTION # 22
You want to evaluate the relationship between feature values and target variables. You have a large number of observations having a near uniform distribution and the features are highly correlated.
Which model explanation technique should you choose?
- A. Feature Permutation Importance Explanations
- B. Feature Dependence Explanations
- C. Local Interpretable Model-Agnostic Explanations
- D. Accumulated Local Effects
Answer: D
NEW QUESTION # 23
In the Oracle Cloud Infrastructure (OCI) Data Science service, how does Model Catalog help with model deployment and management in MLOps?
- A. It provides a centralized and scalable way to manage models and their metadata.
- B. It helps to automate the feature engineering process.
- C. It is a database that stores all the features used in a machine learning model.
- D. It helps to package the model and its dependencies into a lightweight, portable container.
Answer: A
NEW QUESTION # 24
Which two statements are true about published conda environments?
- A. In addition to service job run environment variables, conda environment variables can be used in Data Science Jobs.
- B. The odac conda init command is used to configure the location of published conda environments.
- C. Your notebook session acts as the source to share published conda environments with team members.
- D. You can only create a published conda environment by modifying a Data Science conda environment.
- E. They are curated by Oracle Cloud Infrastructure (OCI) Data Science.
Answer: A,C
NEW QUESTION # 25
You want to build a multistep machine learning workflow by using the Oracle Cloud Infrastructure (OCI) Data Science Pipeline feature. How would you configure the conda environment to run a pipeline step?
- A. Use command-line variables.
- B. Use environmental variables
- C. Configure a block volume.
- D. Configure a compute shape.
Answer: B
NEW QUESTION # 26
Using Oracle AutoML, you are tuning hyperparameters on a supported model class and have specified a time budget. AutoML terminates computation once the time budget is exhausted. What would you expect AutoML to return in case the time budget is exhausted before hyperparameter tuning is completed?
- A. A random hyperparameter configuration is returned.
- B. The current best-known hyperparameter configuration is returned.
- C. A hyperparameter configuration with a minimum learning rate is returned.
- D. The last generated hyperparameter configuration is returned
Answer: B
NEW QUESTION # 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?
- A. Raw Images
- B. XML
- C. JSON
- D. Pandas DataFram
- E. DOCX
Answer: B,C,D
NEW QUESTION # 28
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