Free 1z0-1110-22 Sample Questions and 100% Cover Real Exam Questions (Updated 58 Questions)
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Achieving the Oracle 1z0-1110-22 certification demonstrates that a candidate has the skills and knowledge required to work with Oracle Cloud Infrastructure for data science. Oracle Cloud Infrastructure Data Science 2022 Professional certification is particularly valuable for those working in roles such as data scientists, data analysts, and machine learning engineers who are looking to enhance their skills and advance their careers. The Oracle 1z0-1110-22 exam is a testament to a candidate's expertise and commitment to using the latest technologies and tools to develop innovative solutions that deliver business value.
NEW QUESTION # 20
You have created a model, and you want to use the Accelerated Data Science (ADS) SDK to deploy this model. Where can you save the artifacts to deploy this model with ADS?
- A. Model Depository
- B. Model Catalog
- C. OCI Vault
- D. Data Science Artifactory
Answer: B
NEW QUESTION # 21
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. You can implement custom logging in your code by using the Data Science Jobs logging.
- B. On job creation, enable logging and select a log group. Then, select either log or the op-tion to enable automatic log creation.
- C. Make sure that your code is using the standard logging library and then store all the logs to Check Storage at the end of the job.
- D. Data Science Jots does not support automatic fog collection and storing.
Answer: A
NEW QUESTION # 22
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. Redeploy the model
- B. Operational monitoring
- C. Retrain the model
- D. Drift monitoring
- E. Validate the model using recent data
Answer: C,E
NEW QUESTION # 23
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 hy-perparameter tuning is completed?
- A. A hyperparameter configuration with a minimum learning rate is returned.
- B. A random hyperparameter configuration is returned.
- C. The last generated hyperparameter configuration is returned.
- D. The current best-known hyperparameter configuration is returned.
Answer: D
NEW QUESTION # 24
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 -b <your-bucket-name> -a <api_key or resource_principal>
- B. odsc conda list --override
- C. odsc conda create --file manifest.yaml
- D. odsc conda publish --slug <SLUG>
Answer: A,D
NEW QUESTION # 25
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, total number of observations, and data distributions, Which Accelerated Data Science (ADS) SDK method from the AD&Dataset class would you use?
- A. Show_corr{}
- B. Compute{}
- C. To_xgb{}
- D. Show_in_notebook{}
Answer: D
NEW QUESTION # 26
You are using a third-party Continuous Integration/Continuous Delivery (CI/CD) tool to create a pipeline for preparing and training models. How would you integrate a third-party tool outside Oracle Cloud Infrastructure (OCI) to access Data Science Jobs?
- A. Third-party software can access Data Science Jobs by using any of the OCI Software Development Kits (SDKs).
- B. Third-party tools use authentication keys to create and run.
- C. Data Science Jobs Data Science Jobs is not accessible from outside OCI.
- D. Data Science Jobs does not accept code from third-party tools, therefore you need to run the pipeline externally.
Answer: A
NEW QUESTION # 27
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. Execute the inference logic code
- B. Define the inference server dependencies.
- C. Configure the deployment infrastructure.
- D. Define the compute scaling strategy.
Answer: C
NEW QUESTION # 28
Which TWO statements are true about published conda environments?
- A. You can only create published conda environment by modifying a Data Science conde
- B. They can be used in Data Science Jobs and model deployments.
- C. Your notebook session acts as the source to share published conda environment with team members.
- D. They are curated by Oracle Cloud Infrastructure (OCI) Data Science.
- E. The odsc conda init command is used to configure the location of published conda en-vironments.
Answer: C,E
NEW QUESTION # 29
You are given the task of writing a program that sorts document images by language. Which Oracle AI service would you use?
- A. OCI Vision
- B. Oracle Digital Assistant
- C. OCI Language
- D. OCI Speech
Answer: A
NEW QUESTION # 30
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. Command Palette
- B. Environment Explorer
- C. Notebook Examples
- D. Terminal
- E. Table of Contents
Answer: B,C
NEW QUESTION # 31
You want to evaluate the relationship between feature values and model predictions. You sus-pect that some of the features are correlated. Which model explanation technique would you recommend?
- A. Feature Dependence Explanations.
- B. Accumulated Local Effects.
- C. Local Interpretable Model-Agnostic Explanations.
- D. Feature Permutation Importance Explanations.
Answer: C
NEW QUESTION # 32
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?
- A. Model type selection
- B. Data access
- C. Feature engineering
- D. Model validation
Answer: D
NEW QUESTION # 33
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. DatasetFactory
- B. ADSTurner
- C. SecretKeeper
- D. Dataset Browser
Answer: D
NEW QUESTION # 34
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. Configure core-site.xml. Install a PySPark conda environment. Create a Data Flow application with the Accelerated Data Science (ADS) SDK Develop your PySpark ap-plication. Launch a notebook session.
- B. Develop your PySpark application Create a Data Flow application with the Ac-celerated Data Science (ADS) SOK
- C. Develop your PySpark application. Create a Data Flow application with the Ac-celerated Data science (ADS) SDK.
- D. Launch a notebook session. Configure core-site.xml. Install a PySPark conda environ-ment.
- E. Launch a notebook session. Install a PySpark conda environment. Configure coresite. xml.
- F. Install a spark conda environment. Configure core-site.xml. Launch a notebook session: Create a Data Flow application with the Accelerated Data Science (ADS) SOK. Develop your PySpark application
Answer: C
NEW QUESTION # 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?
- A. sample()
- B. visualize_transforms()
- C. suggeste_recoomendations()
- D. auto_transform()
Answer: D
NEW QUESTION # 36
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 pa-rameters with Oracle Data Science Jobs?
- A. 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.
- B. Create a new no by setting the required parameters in your code, and create a new job for mery code change.
- C. Create your code to expect different parameters as command line arguments, and create it new job every time you run the code.
- D. Create a new job every time you need to run your code and pass the parameters as en-vironment variables.
Answer: A
NEW QUESTION # 37
You are a data scientist with a set of text and image files that need annotation, and you want to use Oracle Cloud Infrastructure (OCI) Data Labeling. Which of the following THREE an-notation classes are supported by the tool.?
- A. Polygonal Segmentation
- B. Named Entity Extraction
- C. Key-Point and Landmark
- D. Object Detection
- E. Classification (single/multi label)
- F. Semantic Segmentation
Answer: B,D,E
NEW QUESTION # 38
The feature type TechJob has the following registered validators: Tech-Job.validator.register(name='is_tech_job', handler=is_tech_job_default_handler) Tech-Job.validator.register(name='is_tech_job', handler= is_tech_job_open_handler, condi-tion=('job_family',)) TechJob.validator.register(name='is_tech_job', handler= is_tech_job_closed_handler, condition=('job_family': 'IT')) When you run is_tech_job(job_family='Engineering'), what does the feature type validator system do?
- A. Throw an error because the system cannot determine which handler to run.
- B. Execute the is_tech_job_open_handler handler.
- C. Execute the is_tech_job_closed_handler handler.
- D. Execute the is_tech_job_default_handler sales handler.
Answer: A
NEW QUESTION # 39
Which feature of the Oracle Cloud Infrastructure (OCI) Vision service helps you generate in-dexing tags for a collection of marketing photographs?
- A. Key Value extraction
- B. Image classification
- C. Document classification
- D. Text recognition
Answer: D
NEW QUESTION # 40
You trained a model to predict housing prices for your city. Which two metrics from the Ac-celerated Data Science (ADS) Evaluation class can be used to evaluate the regression model you just trained?
- A. F-1 Score
- B. Weighted Recall
- C. Explained Variance Score
- D. Weighted Precision
- E. Mean Absolute Error
Answer: C,E
NEW QUESTION # 41
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. XML
- C. DOCX
- D. Pandas DataFram
- E. Raw Images
Answer: A,B,D
NEW QUESTION # 42
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