Best Quality Oracle 1z0-1110-22 Exam Questions Pass4guide Realistic Practice Exams [2023]
Critical Information To Oracle Cloud Infrastructure Data Science 2022 Professional Pass the First Time
NEW QUESTION 21
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. Data Science Jobs can access all OCI services.
- C. Some OCI services require authorizations not supported by Data Science Jobs.
- D. Data Science Jobs cannot access all OCI services.
Answer: B
NEW QUESTION 22
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. Primary Virtual Network Interface Card (VNIC).
- D. NAT Gateway with public internet access.
Answer: D
NEW QUESTION 23
Where do calls to stdout and stderr from score.py go in a model deployment?
- A. The predict log in the Oracle Cloud Infrastructure (OCI) Logging service as defined in the deployment.
- B. The OCI Cloud Shell, which can be accessed from the console.
- C. The OCI console.
- D. The file that was defined for them on the Virtual stachine (VM).
Answer: A
NEW QUESTION 24
The Oracle AutoML pipeline automates hyperparameter tuning by training the model with different parameters in parallel. You have created an instance of Oracle AutoML as ora-cle_automl and now you want an output with all the different trials performed by Oracle Au-toML. Which of the following command gives you the results of all the trials?
- A. Oracle.automl.visualize_adaptive_sampling_trails()
- B. Oracle.automl.visualize_algorith_selection_trails()
- C. Oracle.automl.visualize_tuning_trails()
- D. Oracle.automl.print_trials()
Answer: D
NEW QUESTION 25
You are given the task of writing a program that sorts document images by language. Which Oracle AI service would you use?
- A. OCI Speech
- B. OCI Language
- C. Oracle Digital Assistant
- D. OCI Vision
Answer: D
NEW QUESTION 26
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. Package your personal OC file and keys in the job artifact.
- B. 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.
- C. Create a pre-authenticated request (PAA) for the Object Storage bucket, and use that in the job code.
- D. Store your personal OCI config file and kays in the Vault, and access the Vault through the job nun resource principal
Answer: B
NEW QUESTION 27
You are a data scientist working for a utilities company. You have developed an algorith that detects anomalies from a utility reader in the grid. The size of the model artifact is about 2 GB, and you are trying to store it in the model catalog. Which THREE interfaces would you use to save the model artifact into the model catalog?
- A. ODSC CLI
- B. Oracle Cloud Infrastructure (OCI) Command Line Interface (CLI)
- C. Accelerated Data Science (ADS) Software Development Kit (SDK)
- D. Git CLI
- E. Console
- F. OCI Python SDK
Answer: C,E,F
NEW QUESTION 28
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. OCI Console
- C. Programming Language Software Development Kit (SDK)
- D. Mobile App
Answer: C
NEW QUESTION 29
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. OCI Vault
- B. Model Catalog
- C. Model Depository
- D. Data Science Artifactory
Answer: B
NEW QUESTION 30
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. Semantic Segmentation
- C. Classification (single/multi label)
- D. Object Detection
- E. Key-Point and Landmark
- F. Named Entity Extraction
Answer: C,D,F
NEW QUESTION 31
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. XML
- C. JSON
- D. Pandas DataFram
- E. DOCX
Answer: B,C,D
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. Global behavior of a machine learning model may be complex, while the local behavior may be approximated with a simpler surrogate model.
- B. Local explanation techniques are model agnostic, while global explanation techniques are not.
- C. Global and local behaviors of machine learning models are similar.
- D. Model-agnostic techniques are more interpretable than techniques that are dependent on the types of models.
Answer: A
NEW QUESTION 33
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 random hyperparameter configuration is returned.
- C. The current best-known hyperparameter configuration is returned.
- D. A hyperparameter configuration with a minimum learning rate is returned.
Answer: C
NEW QUESTION 34
You have an embarrassingly parallel or distributed batch job on a large amount of data running using Data Science Jobs What would be the best approach to run the workload?
- A. 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.
- B. Create a new job for every job run that you have to run in parallel, because the Date Science Jobs service can have only one job run per job.
- C. Create the job in Data Science Jobs and then start the number of simultaneous job runs required for your workload.
- D. Reconfigure the job run because Data science jobs does not support embarrassingly parallel.
Answer: C
NEW QUESTION 35
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. 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
- B. Launch a notebook session. Configure core-site.xml. Install a PySPark conda environ-ment.
- C. 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.
- D. Launch a notebook session. Install a PySpark conda environment. Configure coresite. xml.
- E. Develop your PySpark application Create a Data Flow application with the Ac-celerated Data Science (ADS) SOK
- F. Develop your PySpark application. Create a Data Flow application with the Ac-celerated Data science (ADS) SDK.
Answer: F
NEW QUESTION 36
Select two reasons why it is important to rotate encryption keys when using Oracle Cloud In-frastructure (OCI) Vault to store credentials or other secrets.?
- A. Periodically rotating keys limits the amount of data encrypted by one key version.
- B. Key rotation improves encryption efficiency.
- C. Periodically rotating keys make it easier to reuse key.
- D. Key rotation reduces risk if a key is ever compromised.
- E. Key rotation allows you to encrypt no more than five keys at a time.
Answer: C,D
NEW QUESTION 37
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_default_handler sales handler.
- B. Execute the is_tech_job_open_handler handler.
- C. Throw an error because the system cannot determine which handler to run.
- D. Execute the is_tech_job_closed_handler handler.
Answer: C
NEW QUESTION 38
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. auto_transform()
- B. OneHotEncoder()
- C. DataFramLabelEncode()
- D. show_in_notebook()
Answer: C
NEW QUESTION 39
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. Algorithm selection, Adaptive sampling. Feature selection, Hyperparameter tuning.
- C. Algorithm selection, Feature selection, Adaptive sampling, Hyperparameter tuning.
- D. Adaptive sampling, Algorithm selection, Feature selection, Hyperparameter tuning.
Answer: B
NEW QUESTION 40
You want to make your model more parsimonious to reduce the cost of collecting and processing dat a. 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. Correlation_ratio_plot{}
- C. Corr{}
- D. Cramersv_plot{}
Answer: B
NEW QUESTION 41
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 effi-cient way to do this with Data Science Jobs?
- A. Edit the job, change the size of the storage of your job, and start a new job run.
- B. Create a new job with increased storage size and then run the job.
- C. On the job run, set the environment variable that helps increase the size of the storage.
- D. Your code using too much disk space. Refactor the code to identify the problem.
Answer: A
NEW QUESTION 42
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. Notebook Examples
- C. Table of Contents
- D. Environment Explorer
- E. Terminal
Answer: B,D
NEW QUESTION 43
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