Oracle 1z0-1110-22 Real Exam Questions Test Engine Dumps Training With 58 Questions
1z0-1110-22 Actual Questions Answers PDF 100% Cover Real Exam Questions
NEW QUESTION 16
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. Model_artifact_validate.py
- C. Runtime.yaml
- D. Score.py
Answer: A
NEW QUESTION 17
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. Your code using too much disk space. Refactor the code to identify the problem.
- B. On the job run, set the environment variable that helps increase the size of the storage.
- C. Create a new job with increased storage size and then run the job.
- D. Edit the job, change the size of the storage of your job, and start a new job run.
Answer: D
NEW QUESTION 18
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. Document classification
- C. Text recognition
- D. Image classification
Answer: C
NEW QUESTION 19
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. Dataset Browser
- C. DatasetFactory
- D. SecretKeeper
Answer: B
NEW QUESTION 20
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. Develop your PySpark application. Create a Data Flow application with the Ac-celerated Data science (ADS) SDK.
- E. Launch a notebook session. Install a PySpark conda environment. Configure coresite. xml.
- F. Develop your PySpark application Create a Data Flow application with the Ac-celerated Data Science (ADS) SOK
Answer: D
NEW QUESTION 21
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.
Answer: B
NEW QUESTION 22
You have trained three different models on your data set using Oracle AutoML. You want to visualize the behavior of each of the models, including the baseline model, on the test set. Which class should be used from the Accelerated Data Science (ADS) SDK to visually compare the models?
- A. ADS Explainer
- B. ADS Evaluator
- C. ADSTuner
- D. EvaluationMetrics
Answer: D
NEW QUESTION 23
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. ZIP the entire code project folder and upload it as a Job artifact on job creation, Jobs identities the main executable file automatically.
- 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. Rewrite your code so that a single executable Python or Bash/Shell script file.
Answer: C
Explanation:
That main top level where the code is run.
NEW QUESTION 24
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. Import the REST API
- C. Create and upload the API signing key and config file
- D. Create and upload execute.py and runtime.yaml
Answer: C
NEW QUESTION 25
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. Local explanation techniques are model agnostic, while global explanation techniques are not.
- B. Global and local behaviors of machine learning models are similar.
- C. Global behavior of a machine learning model may be complex, while the local behavior may be approximated with a simpler surrogate model.
- D. Model-agnostic techniques are more interpretable than techniques that are dependent on the types of models.
Answer: C
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
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 list --override
- B. odsc conda init -b <your-bucket-name> -a <api_key or resource_principal>
- C. odsc conda create --file manifest.yaml
- D. odsc conda publish --slug <SLUG>
Answer: B,D
NEW QUESTION 28
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. Semantic Segmentation
- B. Polygonal Segmentation
- C. Named Entity Extraction
- D. Object Detection
- E. Classification (single/multi label)
- F. Key-Point and Landmark
Answer: C,D,E
NEW QUESTION 29
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. Retrain the model
- B. Redeploy the model
- C. Operational monitoring
- D. Validate the model using recent data
- E. Drift monitoring
Answer: A,D
NEW QUESTION 30
Which TWO statements are true about published conda environments?
- A. They can be used in Data Science Jobs and model deployments.
- B. They are curated by Oracle Cloud Infrastructure (OCI) Data Science.
- C. You can only create published conda environment by modifying a Data Science conde
- D. Your notebook session acts as the source to share published conda environment with team members.
- E. The odsc conda init command is used to configure the location of published conda en-vironments.
Answer: D,E
NEW QUESTION 31
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 then start the number of simultaneous job runs required for your workload.
- B. 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.
- C. Reconfigure the job run because Data science jobs does not support embarrassingly parallel.
- D. 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.
Answer: A
NEW QUESTION 32
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. Pandas DataFram
- B. Raw Images
- C. JSON
- D. DOCX
- E. XML
Answer: A,C,E
NEW QUESTION 33
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. FastConnect to an on-premises network.
- B. NAT Gateway with public internet access.
- C. Primary Virtual Network Interface Card (VNIC).
- D. Service Gateway with private subnet access.
Answer: B
NEW QUESTION 34
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. Feature Permutation Importance Explanations.
- D. Local Interpretable Model-Agnostic Explanations.
Answer: D
NEW QUESTION 35
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