Oracle Oracle Certifications 1Z0-1110-22 Questions & Answers

• Question 21:

  You are a data scientist designing an air traffic control model, and you choose to leverage Or-acle 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.

  D. Algorithm selection, Adaptive sampling. Feature selection, Hyperparameter tuning.

  Correct Answer: D

• 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. DataFramLabelEncode()

  B. auto_transform()

  C. OneHotEncoder()

  D. show_in_notebook()

  Correct Answer: A

• Question 23:

  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. DOCX

  B. Pandas DataFram

  C. JSON

  D. Raw Images

  E. XML

  Correct Answer: BCE

• Question 24:

  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. ADSTurner

  B. DatasetFactory

  C. SecretKeeper

  D. Dataset Browser

  Correct Answer: D

• Question 25:

  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 exploratory data analysis. From which TWO places can you access the ADS SDK?

  A. Oracle Autonomous Data Warehouse

  B. Oracle Machine Learning

  C. Conda environments in Oracle Cloud infrastructure (OCI) Data Science.

  D. Python Package Index (PyPi)

  E. Oracle Big Data Service

  Correct Answer: BC

• Question 26:

  What preparation steps are required to access an Oracle AI service SDK from a Data Science notebook session?

  A. Call the Accented Data Science (ADS) command to enable Al integration

  B. Create and upload the API signing key and config file

  C. Import the REST API

  D. Create and upload execute.py and runtime.yaml

  Correct Answer: B

• Question 27:

  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. Corr{}

  B. Correlation_ratio_plot{}

  C. Pearson_plot{}

  D. Cramersv_plot{}

  Correct Answer: B

• Question 28:

  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. Launch a notebook session. Configure core-site.xml. Install a PySPark conda environ- ment. B. Develop your PySpark application Create a Data Flow application with the Ac- celerated Data Science (ADS) SOK

  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 ap- plication. Launch a notebook session.

  C. Launch a notebook session. Install a PySpark conda environment. Configure coresite.xml.

  D. Develop your PySpark application. Create a Data Flow application with the Ac-celerated Data science (ADS) SDK.

  E. 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

  Correct Answer: E

• Question 29:

  You have developed a model training code that regularly checks for new data in Object Storage and retrains the model. Which statement best describes the Oracle Cloud Infrastructure (OCI) services that can be accessed from Data Science Jobs?

  A. Data Science Jobs can access OCI resources only via the resource principal.

  B. Some OCI services require authorizations not supported by Data Science Jobs.

  C. Data Science Jobs cannot access all OCI services.

  D. Data Science Jobs can access all OCI services.

  Correct Answer: D

• Question 30:

  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. The current best-known hyperparameter configuration is returned.

  C. A random hyperparameter configuration is returned.

  D. The last generated hyperparameter configuration is returned.

  Correct Answer: B