別格で売上ナンバーワン1z0-1110-22試験にはは2023年最新のOracle練習問試験合格させます [Q25-Q43]

別格で売上ナンバーワン1z0-1110-22試験にはは2023年最新のOracle練習問試験合格させます

Oracle Cloud Infrastructure問題集で1z0-1110-22試験完全版問題で試験学習ガイド

質問 # 25
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. show_in_notebook()
C. auto_transform()
D. OneHotEncoder()

正解：A

質問 # 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 hy-perparameter tuning is completed?

A. The last generated 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. A random hyperparameter configuration is returned.

正解：C

質問 # 27
The Accelerated Data Science (ADS) model evaluation classes support different types of ma-chine learning modeling techniques Which THREE types of modeling techniques are supported by ADS Evaluators?

A. Multiclass Classification
B. Principal Component Analysis
C. Binary Classification
D. Recurrent Neural Network
E. Regression Analysis
F. K-Means Clustering

正解：A、C、E

質問 # 28
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 as command line arguments, and create it new job every time you run the code.
B. Create a new no by setting the required parameters in your code, and create a new job for mery code change.
C. Create a new job every time you need to run your code and pass the parameters as en-vironment 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.

正解：D

質問 # 29
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 Ac-celerated Data Science (ADS) SOK
B. Develop your PySpark application. Create a Data Flow application with the Ac-celerated Data science (ADS) SDK.
C. Launch a notebook session. Install a PySpark conda environment. Configure coresite. xml.
D. Launch a notebook session. Configure core-site.xml. Install a PySPark conda environ-ment.
E. 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.
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

正解：B

質問 # 30
You are a data scientist using Oracle AutoML to produce a model and you are evaluating the score metric for the model. Which of the following TWO prevailing metrics would you use for evaluating multiclass classification model?

A. Recall
B. R-Squared
C. Explained variance score
D. F1 Score
E. Mean squared error

正解：A、D

質問 # 31
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 subfolder 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 Jobs automatically identifies
B. Rewrite your code so that a single executable Python or Bash/Shell script file.
C. 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.
D. ZIP the entire code project folder and upload it as a Job artifact on job creation, Jobs identities the main executable file automatically.

正解：C

解説：
That main top level where the code is run.

質問 # 32
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. Accumulated Local Effects.
B. Feature Dependence Explanations.
C. Feature Permutation Importance Explanations.
D. Local Interpretable Model-Agnostic Explanations.

正解：D

質問 # 33
You want to write a Python script to create a collection of different projects for your data sci-ence team. Which Oracle Cloud Infrastructure (OCI) Data Science Interface would you use?

A. Command Line Interface (CLI)
B. Programming Language Software Development Kit (SDK)
C. Mobile App
D. OCI Console

正解：B

質問 # 34
You are a computer vision engineer building an image recognition model. You decide to use Oracle Data Labeling to annotate your image dat a. Which of the following THREE are possible ways to annotate an image in Data Labeling?

A. Adding a single label to an image.
B. Adding labels to an image by drawing bounding box to an image, is not supported by Data Labeling
C. Adding labels to an image using object detection, by drawing bounding boxes to an im-age.
D. Adding labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.
E. Adding multiple labels to an image.

正解：A、C、E

質問 # 35
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. Execute the is_tech_job_closed_handler handler.
B. Execute the is_tech_job_open_handler handler.
C. Execute the is_tech_job_default_handler sales handler.
D. Throw an error because the system cannot determine which handler to run.

正解：D

質問 # 36
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. Algorithm selection, Adaptive sampling. Feature selection, Hyperparameter tuning.
B. Algorithm selection, Feature selection, Adaptive sampling, Hyperparameter tuning.
C. Adaptive sampling, Algorithm selection, Feature selection, Hyperparameter tuning.
D. Adaptive sampling, Feature selection, Algorithm selection, Hyperparameter tuning.

正解：A

質問 # 37
You are a data scientist working inside a notebook session and you attempt to pip install a package from a public repository that is not included in your condo environment. After running this command, you get a network timeout error. What might be missing from your networking configuration?

A. Service Gateway with private subnet access.
B. FastConnect to an on-premises network.
C. NAT Gateway with public internet access.
D. Primary Virtual Network Interface Card (VNIC).

正解：C

質問 # 38
You are using Oracle Cloud Infrastructure Anomaly Detection to train a model to detect anomalies in pump sensor dat a. How does the required False Alarm Probability settings affect an anomaly detection model?

A. It determines how many false alarms occur before an error message is generated.
B. It Adds a score to each signal indicating the probability that it is false alarm.
C. It changes the sensitivity of the model to detect anomalies.
D. It is used to disable the reporting of false alarm.

正解：C

質問 # 39
You are a data scientist working for a manufacturing company, you have developed a fore-casting 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.?

A. Requirement.txt
B. Score.py
C. Runtime.yaml
D. Model_artifact_validate.py

正解：A

質問 # 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. Dataset Browser
B. ADSTurner
C. DatasetFactory
D. SecretKeeper

正解：A

質問 # 41
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 all OCI services.
B. Data Science Jobs can access OCI resources only via the resource principal.
C. Some OCI services require authorizations not supported by Data Science Jobs.
D. Data Science Jobs cannot access all OCI services.

正解：A

質問 # 42
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?