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Oracle 1z0-1110-23 Exam Syllabus Topics:
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NEW QUESTION # 19
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 allows you to encrypt no more than five keys at a time.
- B. Periodically rotating keys limits the amount of data encrypted by one key version.
- C. Key rotation reduces risk if a key is ever compromised.
- D. Periodically rotating keys make it easier to reuse keys.
- E. Key rotation improves encryption efficiency.
Answer: B,C
NEW QUESTION # 20
You are attempting to save a model from a notebook session to the model catalog by using the Accelerated Data Science (ADS) SDK, with resource principal as the authentication signer, and you get a 404 authentication error. Which two should you look for to ensure permissions are set up correctly?
- A. The policy for a dynamic group grant manages permissions for the model catalog in it compartment.
- B. The policy for your user group grants manages permissions for the model catalog in this compartment.
- C. The model artifact is saved to the block volume of the notebook session.
- D. The networking configuration allows access to Oracle Cloud Infrastructure services through a Service Gateway.
- E. A dynamic group has rules that matching the notebook sessions in it compartment.
Answer: B,E
NEW QUESTION # 21
You want to make your model more parsimonious to reduce the cost of collecting and processing data. You plan to do this by removing features that are highly correlated. You would like to create a heat map that displays the correlation so that you can identify candidate features to remove. Which Accelerated Data Science (ADS) SDK method would be appropriate to display the correlation between Continuous and Categorical features?
- A. Correlation_ratio_plot{}
- B. Cramersv_plot{}
- C. Pearson_plot{}
- D. Corr{}
Answer: A
NEW QUESTION # 22
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?
- A. show_in_notebook()
- B. auto_transform()
- C. OneHotEncoder()
- D. DataFramLabelEncode()
Answer: D
NEW QUESTION # 23
You have just received a new data set from a colleague. You want to quickly find out summary information about the data set, such as the types of features, the total number of observations, and distributions of the data. Which Accelerated Data Science (ADS) SDK method from the ADSDataset class would you use?
- A. show_in_notebook ()
- B. show_corr()
- C. compute ()
- D. to_xgb ()
Answer: A
NEW QUESTION # 24
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 package the model and its dependencies into a lightweight, portable container.
- C. It helps to automate the feature engineering process.
- D. It is a database that stores all the features used in a machine learning model.
Answer: A
NEW QUESTION # 25
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. A hyperparameter configuration with a minimum learning rate is returned.
- C. The current best-known hyperparameter configuration is returned.
- D. The last generated hyperparameter configuration is returned
Answer: C
NEW QUESTION # 26
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. CONLL V2003
- B. Spacy
- C. COCO
- D. Data Labelling Service Proprietary JSON
Answer: B,C
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. Pandas DataFram
- C. DOCX
- D. JSON
- E. XML
Answer: B,D,E
NEW QUESTION # 28
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. Regression Analysis
- B. K-means Clustering
- C. Binary Classification
- D. Recurrent Neural Network
- E. Multiclass Classification
- F. Principal Component Analysis
Answer: A,C,E
NEW QUESTION # 29
You have trained three different models on your data set using Oracle AutoML. You want to visualize the behavior of each of the models, including the baseline model, on the test set. Which class should be used from the Accelerated Data Science (ADS) SDK to visually compare the models?
- A. EvaluationMetrics
- B. ADSExplainer
- C. ADSTuner
- D. ADSEvaluator
Answer: D
NEW QUESTION # 30
You want to ensure that all stdout and stderr from your code are automatically collected and logged, without implementing additional logging in your code. How would you achieve this with Data Science Jobs?
- A. Create your own log group and use a third-party logging service to capture job run details for log collection and storing.
- B. On job creation, enable logging and select a log group. Then, select either a log or the option to enable automatic log creation.
- C. Make sure that your code is using the standard logging library and then store all the logs to Object Storage at the end of the job.
- D. You can implement custom logging in your code by using the Data Science Jobs logging service.
Answer: B
NEW QUESTION # 31
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?
- A. DatasetBrowser
- B. SecretKeeper
- C. DataLabeling
- D. ADSTuner
Answer: A
NEW QUESTION # 32
You have trained a machine learning model on Oracle Cloud Infrastructure (OCI) Data Science, and you want to save the code and associated pickle file in a Git repository. To do this, you have to create a new SSH key pair to use for authentication. Which SSH command would you use to create the public/private algorithm key pair in the notebook session?
- A. ssh-add
- B. ssh-agent
- C. ssh-Keygen
- D. ssh-copy-id
Answer: C
NEW QUESTION # 33
Which of the following TWO non-open source JupyterLab extensions has Oracle Cloud In-frastructure (OCI) Data Science developed and added to the notebook session experience?
- A. Notebook Examples
- B. Table of Contents
- C. Environment Explorer
- D. Terminal
- E. Command Palette
Answer: A,C
NEW QUESTION # 34
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 on job creation. Jobs identifies the main executable file automatically.
- 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. Rewrite your code so that it is a single executable Python or Bash/Shell script file.
- D. 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.
Answer: B
NEW QUESTION # 35
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. JSON
- B. Raw Images
- C. DOCX
- D. XML
- E. Pandas DataFrame
Answer: D,E
NEW QUESTION # 36
You have an embarrassingly parallel or distributed batch job on a large amount of data that you consider running using Data Science Jobs. What would be the best approach to run the workload?
- A. Reconfigure the job run because Data Science Jobs does not support embarrassingly parallel workloads.
- B. Create the job in Data Science Jobs and then start the number of simultaneous jobs runs required for your workload.
- C. Create the job in Data Science Jobs and start a job run. When it is done, start a new job run until you achieve the number of runs required.
- D. Create a new job for every job run that you have to run in parallel, because the Data Science Jobs service can have only one job run per job.
Answer: B
NEW QUESTION # 37
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. odsc conda create --file manifest.yaml
- B. odsc conda init --bucket_namespace <NAMESPACE> --bucket_name <BUCKET>
- C. conda activate /home/datascience/conda/<SLUG>
- D. odac conda publish --slug <SLUG>
- E. odsc conda list --override
Answer: B,D
NEW QUESTION # 38
You are asked to prepare data for a custom-built model that requires transcribing Spanish video recordings into a readable text format with profane words identified.
Which Oracle Cloud service would you use?
- A. OCI Translation
- B. OCI Speech
- C. OCI Anomaly Detection
- D. OCI Language
Answer: B
NEW QUESTION # 39
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. Algorithm Selection
- C. Model Deployment
- D. Feature Extraction
- E. Feature Selection
Answer: A,C,E
NEW QUESTION # 40
You want to make your model more frugal to reduce the cost of collecting and processing data.
You plan to do this by removing features that are highly correlated. You would like to create a heat map that displays the correlation so that you can identify candidate features to remove.
Which Accelerated Data Science (ADS) SDK method is appropriate to display the comparability between Continuous and Categorical features?
- A. cramersv_plot()
- B. pearson_plot()
- C. corr()
- D. correlation_ratio_plot()
Answer: D
NEW QUESTION # 41
You are asked to prepare data for a custom-built model that requires transcribing Spanish video recordings into a readable text format with profane words identified. Which Oracle Cloud service would you use?
- A. OCI Translation
- B. OCI Speech
- C. OCI Anomaly Detection
- D. OCI Language
Answer: B
NEW QUESTION # 42
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