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Oracle 1z0-1110-23 Exam Syllabus Topics:
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NEW QUESTION # 26
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?
- A. auto_transform()
- B. visualize_transforms()
- C. sample()
- D. suggeste_recoomendations()
Answer: A
NEW QUESTION # 27
You are creating an Oracle Cloud Infrastructure (OCI) Data Science job that will run on a recurring basis in a production environment. This job will pick up sensitive data from an Object Storage bucket, train a model, and save it to the model catalog.
How would you design the authentication mechanism for the job?
- A. Use the resource principal of the job run as the signer in the job code, ensuring there is a dynamic group for this job run with appropriate access to Object Storage and the model catalog.
- B. Store your personal OCI config file and keys in the Vault and access the Vault through the job run resource principal.
- C. Create a pre-authenticated request (PAR) for the Object Storage bucket, and use that in the job code.
- D. Package your personal OCI config file and keys in the job artifact
Answer: A
NEW QUESTION # 28
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?
- A. auto_transform()
- B. sample ()
- C. visualize_transforms ()
- D. suggest_recommendations()
Answer: B
NEW QUESTION # 29
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 # 30
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 model artifact is saved to the block volume of the notebook session.
- B. The policy for your user group grants manages permissions for the model catalog in this compartment.
- C. The policy for a dynamic group grant manages permissions for the model catalog in it compartment.
- 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 # 31
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 Speech
- B. OCI Anomaly Detection
- C. OCI Language
- D. OCI Translation
Answer: A
NEW QUESTION # 32
You have built a machine model to predict whether a bank customer is going to default on a loan. You want to use Local Interpretable Model-Agnostic Explanations (LIME) to understand a specific prediction. What is the key idea behind LIME?
- A. Model-agnostic techniques are more interpretable than techniques that are dependent on the types of models.
- B. Local explanation techniques are model-agnostic, while global explanation techniques are not
- C. Global behaviour of a machine learning model may be complex, while the local behaviour may be approximated with a simpler surrogate model.
- D. Global and local behaviours of machine learning models are similar.
Answer: C
NEW QUESTION # 33
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. Pearson_plot{}
- B. Cramersv_plot{}
- C. Correlation_ratio_plot{}
- D. Corr{}
Answer: C
NEW QUESTION # 34
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 # 35
You want to write a program that performs document analysis tasks such as extracting text and tables from a document. Which Oracle AI service would you use?
- A. OCI Speech
- B. OCI Vision
- C. Oracle Digital Assistant
- D. OCI Language
Answer: B
NEW QUESTION # 36
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. Spacy
- B. Data Labelling Service Proprietary JSON
- C. COCO
- D. CONLL V2003
Answer: A,C
NEW QUESTION # 37
After you have created and opened a notebook session, you want to use the Accelerated Data Science (ADS) SDK to access your data and get started with an exploratory data analysis.
From which two places can you access or install the ADS SDK?
- A. Oracle Big Data Service
- B. Conda environments in Oracle Cloud Infrastructure (OCI) Data Science
- C. Python Package Index (PyPI
- D. Oracle Autonomous Data Warehouse
- E. Oracle Machine Learning (OML)
Answer: B,C
NEW QUESTION # 38
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. Principal Component Analysis
- B. K-means Clustering
- C. Binary Classification
- D. Regression Analysis
- E. Multiclass Classification
- F. Recurrent Neural Network
Answer: C,D,E
NEW QUESTION # 39
For your next data science project, you need access to public geospatial images.
Which Oracle Cloud service provides free access to those images?
- A. Oracle Big Data Service
- B. Oracle Cloud Infrastructure Data Science
- C. Oracle Open Data
- D. Oracle Analytics Cloud
Answer: C
NEW QUESTION # 40
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. DataLabeling
- B. DatasetBrowser
- C. SecretKeeper
- D. ADSTuner
Answer: B
NEW QUESTION # 41
In the Oracle Cloud Infrastructure (OCI) Data Science service, how does Model Catalog help with model deployment and management in MLOps?
- A. It helps to package the model and its dependencies into a lightweight, portable container.
- 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 provides a centralized and scalable way to manage models and their metadata.
Answer: D
NEW QUESTION # 42
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. Programming Language Software Development Kit (SDK)
- D. OCI Console
Answer: C
NEW QUESTION # 43
Which TWO statements are true about published conda environments?
- A. Your notebook session acts as the source to share published conda environment with team members.
- B. They can be used in Data Science Jobs and model deployments.
- C. The odsc conda init command is used to configure the location of published conda en-vironments.
- D. You can only create published conda environment by modifying a Data Science conde
- E. They are curated by Oracle Cloud Infrastructure (OCI) Data Science.
Answer: A,C
NEW QUESTION # 44
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?
- A. Moving a project to a different compartment requires deleting all its associated notebook sessions and models first.
- B. You cannot move a project to a different compartment after it has been created.
- C. Moving a project to a different compartment also moves its associated notebook sessions and models to the new compartment.
- D. You can move a project to a different compartment without affecting its associated notebook sessions and models
Answer: C
NEW QUESTION # 45
You are a data scientist designing an air traffic control model, and you choose to leverage Oracle AutoML You understand that the Oracle AutoML pipeline consists of multiple stages and automatically operates in a certain sequence. What is the correct sequence for the Oracle AutoML pipeline?
- A. Adaptive sampling, Feature selection, Algorithm selection, Hyperparameter tuning
- B. Adaptive sampling, Algorithm selection, Feature selection, Hyperparameter tuning
- C. Algorithm selection, Feature selection, Adaptive sampling, Hyperparameter tuning Want any exam dump in pdf email me at [email protected] (Little Paid)
- D. Algorithm selection, Adaptive sampling, Feature selection, Hyperparameter tuning
Answer: B
NEW QUESTION # 46
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 init --bucket_namespace <NAMESPACE> --bucket_name <BUCKET>
- B. odsc conda list --override
- C. odac conda publish --slug <SLUG>
- D. conda activate /home/datascience/conda/<SLUG>
- E. odsc conda create --file manifest.yaml
Answer: A,C
NEW QUESTION # 47
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. OneHotEncoder()
- B. auto_transform()
- C. show_in_notebook()
- D. DataFramLabelEncode()
Answer: D
NEW QUESTION # 48
You are working as a data scientist for a healthcare company. They decide to analyze the data to find patterns in a large volume of electronic medical records. You are asked to build a PySpark solution to analyze these records in a JupyterLab notebook. What is the order of recommended steps to develop a PySpark application in Oracle Cloud Infrastructure (OCI) Data Science?
- A. Develop your PySpark application. Create a Data Flow application with the Accelerated Data Science (ADS) SDK.
- B. Configure core-site.xml. Install a PySpark conda environment. Create a Data Flow application with the Accelerated Data Science (ADS) SDK. Develop your PySpark application. Launch a notebook session.
- C. Install a Spark conda environment. Configure core-site.xml. Launch a notebook session.
Create a Data Flow application with the Accelerated Data Science (ADS) SDK. Develop your PySpark application. - D. Launch a notebook session. Install a PySpark conda environment. Configure core-site.xml.
Develop your PySpark application. Create a Data Flow application with the Accelerated Data Science (ADS) SDK. - E. Launch a notebook session. Configure core-site.xml. Install a PySpark conda environment.
Answer: D
NEW QUESTION # 49
As a data scientist, you are tasked with creating a model training job that is expected to take different hyperparameter values on every run. What is the most efficient way to set those parameters with Oracle Data Science Jobs?
- A. Create a new job by setting the required parameters in your code and create a new job for every code change.
- B. Create your code to expect different parameters as command line arguments and create a new job every time you run the code.
- C. Create a new job every time you need to run your code and pass the parameters as environment variables.
- D. Create your code to expect different parameters either as environment variables or as command line arguments, which are set on every job run with different values.
Answer: D
NEW QUESTION # 50
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 fie?
- A. Define the compute scaling strategy.
- B. Configure the deployment infrastructure.
- C. Execute the inference logic code
- D. Define the inference server dependencies.
Answer: B
NEW QUESTION # 51
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