Pass Your Exam Easily! 1z0-1110-22 Real Question Answers Updated on Dec 07, 2023
Actual Questions Answers Pass With Real 1z0-1110-22 Exam Dumps
NEW QUESTION # 34
You have a data set with fewer than 1000 observations, and you are using Oracle AutoML to build a classifier. While visualizing the results of each stage of the Oracle AutoML pipeline, you notice that no visualization has been generated for one of the stages. Which stage is not visualized?
- A. Algorithm selection
- B. Hyperparameter tuning
- C. Adaptive sampling
- D. Feature selection
Answer: C
NEW QUESTION # 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_default_handler sales handler.
- B. Execute the is_tech_job_closed_handler handler.
- C. Execute the is_tech_job_open_handler handler.
- D. Throw an error because the system cannot determine which handler to run.
Answer: D
NEW QUESTION # 36
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 labels to an image using object detection, by drawing bounding boxes to an im-age.
- B. Adding labels to an image by drawing bounding box to an image, is not supported by Data Labeling
- C. Adding multiple labels to an image.
- D. Adding a single label to an image.
- E. Adding labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.
Answer: A,C,D
NEW QUESTION # 37
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. Compute{}
- B. To_xgb{}
- C. Show_corr{}
- D. Show_in_notebook{}
Answer: D
NEW QUESTION # 38
You are a data scientist leveraging the Oracle Cloud Infrastructure (OCI) Language AI service for various types of text analyses. Which TWO capabilities can you utilize with this tool?
- A. Table extraction
- B. Sentence diagramming
- C. Topic classification
- D. Punctuation correction
- E. Sentiment analysis
Answer: C
NEW QUESTION # 39
What preparation steps are required to access an Oracle AI service SDK from a Data Science notebook session?
- A. Import the REST API
- B. Create and upload the API signing key and config file
- C. Create and upload execute.py and runtime.yaml
- D. Call the Accented Data Science (ADS) command to enable Al integration
Answer: B
NEW QUESTION # 40
You are asked to prepare data for a custom-built model that requires transcribing Spanish video recordings into a readable text format with profane words identified. Which Oracle Cloud service would you use?
- A. OCI Anomaly Detection
- B. OCI Language
- C. OCI Translation
- D. OCI Speech
Answer: D
NEW QUESTION # 41
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. OCI Console
- D. Mobile App
Answer: B
NEW QUESTION # 42
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. Validate the model using recent data
- D. Drift monitoring
- E. Retrain the model
Answer: C,E
NEW QUESTION # 43
You have received machine learning model training code, without clear information about the optimal shape to run the training on. How would you proceed to identify the optimal compute shape for your model training that provides a balanced cost and processing time?
- A. Start with a smaller shape and monitor the utilization metrics and time required to complete the model training. If the compute shape is fully utilized, change to compute that has more resources and re-run the job. Repeat the process until the processing time does not improve.
- B. Start with the strangest compute shape Jobs support and monitor the Job Run metrics and time required to complete the model training. Tune the model so that it utilizes as much compute resources as possible, even at an increased cost.
- C. Start with a random compute shape and monitor the utilization metrics and time required to finish the model training Perform model training optimizations and performance tests in advance to identify the right compute shape before running the model training as a job.
- D. Start with a smaller shape and monitor the Job Run metrics and time required to complete the model training: If the compute shape is not fully utilized, tune the model parameters, and rerun the job. Repeat the process until the shape resources are fully utilized.
Answer: A
NEW QUESTION # 44
You are preparing a configuration object necessary to create a Data Flow application. Which THREE parameter values should you provide?
- A. The display name of the application.
- B. The compartment of the Data Flow application.
- C. The bucket used to read/write the pySpark script in Object Storage.
- D. The path to the arhive.zip file.
- E. The local path to your pySpark script.
Answer: A,C,E
NEW QUESTION # 45
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. OneHotEncoder()
- B. auto_transform()
- C. DataFramLabelEncode()
- D. show_in_notebook()
Answer: C
NEW QUESTION # 46
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. Environment Explorer
- B. Table of Contents
- C. Command Palette
- D. Terminal
- E. Notebook Examples
Answer: A,E
NEW QUESTION # 47
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 Evaluator
- B. EvaluationMetrics
- C. ADS Explainer
- D. ADSTuner
Answer: B
NEW QUESTION # 48
For your next data science project, you need access to public geospatial images. Which Oracle Cloud service provides free access to those images?
- A. Oracle Analytics Claud
- B. Oracle Cloud Infrastructure (OCI) Data Science
- C. Oracle Open Data
- D. Oracle Big Data Service
Answer: C
NEW QUESTION # 49
You are a data scientist leveraging Oracle Cloud Infrastructure (OCI) Data Science to create a model and need some additional python libraries for processing genome sequencing dat a. Which of the following THREE statements are correct with respect to installing additional Python libraries to process the data?
- A. You can install any open source package available in a publicly accessible Python Package Index (PyPI) repository
- B. You can only install libraries using yum and pip as a normal user
- C. You cannot install a library that's not preinstalled in the provided image
- D. You can install private or custom libraries from your own internal repositories
- E. OCI Data Science allows privileges in notebook sessions.
Answer: A,B,D
NEW QUESTION # 50
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. Correlation_ratio_plot{}
- B. Pearson_plot{}
- C. Cramersv_plot{}
- D. Corr{}
Answer: A
NEW QUESTION # 51
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 is used to disable the reporting of false alarm.
- D. It changes the sensitivity of the model to detect anomalies.
Answer: D
NEW QUESTION # 52
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. Reconfigure the job run because Data science jobs does not support embarrassingly parallel.
- 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. 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.
- D. Create the job in Data Science Jobs and then start the number of simultaneous job runs required for your workload.
Answer: D
NEW QUESTION # 53
Where do calls to stdout and stderr from score.py go in a model deployment?
- A. The file that was defined for them on the Virtual stachine (VM).
- B. The OCI Cloud Shell, which can be accessed from the console.
- C. The predict log in the Oracle Cloud Infrastructure (OCI) Logging service as defined in the deployment.
- D. The OCI console.
Answer: C
NEW QUESTION # 54
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. XML
- B. Raw Images
- C. DOCX
- D. Pandas DataFram
- E. JSON
Answer: A,D,E
NEW QUESTION # 55
As you are working in your notebook session, you find that your notebook session does not have enough compute CPU and memory for your workload. How would you scale up your notebook session without losing your work?
- A. Down your files and data to your local machine, delete your notebook session, provision tebook session on a larger compute shape, and upload your files from your local the new notebook session.
- B. Create a temporary bucket in Object Storage, write all your files and data to Object Storage, delete tur ctebook session, provision a new notebook session on a larger com-pute shape, and capy your flies and data from your temporary bucket onto your new notebook session.
- C. Deactivate your notebook session, provision a new notebook session on larger compute shape, and re-create all your file changes.
- D. Ensure your files and environments are written to the block volume storage under the /home/datascience directory, deactivate the notebook session, and activate the notebook larger compute shape selected.
Answer: D
NEW QUESTION # 56
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