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NEW QUESTION # 36
You are building a model and need input that represents data as morning, afternoon, or evening. However, the data contains a time stamp. What part of the Data Science life cycle would you be in when creating the new variable?
- A. Data access
- B. Model type selection
- C. Feature engineering
- D. Model validation
Answer: D
NEW QUESTION # 37
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. Key-Point and Landmark
- B. Object Detection
- C. Classification (single/multi label)
- D. Semantic Segmentation
- E. Polygonal Segmentation
- F. Named Entity Extraction
Answer: B,C,F
NEW QUESTION # 38
. You realize that your model deployment is about to reach its utilization limit. What would you do to avoid the issue before requests start to fail?
- A. Reduce the load balancer bandwidth limit so that fewer requests come in.
- B. Update the deployment to add more instances.
- C. Update the deployment to use a larger virtual machine (more CPUs/memory).
- D. Delete the deployment.
- E. Update the deployment to use fewer instances.
Answer: A,B,C
NEW QUESTION # 39
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. Deactivate your notebook session, provision a new notebook session on a larger compute shape and re-create all of your file changes.
- B. Download all your files and data to your local machine, delete your notebook session, provision a new notebook session on a larger compute shape, and upload your files from your local machine to the new notebook session.
- C. Create a temporary bucket on Object Storage, write all your files and data to Object Storage, delete your notebook session, provision a new notebook session on a larger compute shape, Want any exam dump in pdf email me at [email protected] (Little Paid) and copy your files and data from your temporary bucket onto your new notebook session.
- 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 session with a larger compute shape selected.
Answer: D
NEW QUESTION # 40
As a data scientist, you create models for cancer prediction based on mammographic images.
The correct identification is very crucial in this case. After evaluating two models, you arrive at the following confusion matrix.
Model 1 has Test accuracy is 80% and recall is 70%.
* Model 2 has Test accuracy is 75% and recall is 85%.
Which model would you prefer and why?
- A. Model 2, because recall has more impact on predictions in this use se.
- B. Model 1, because the test accuracy is high.
- C. Model 1, because recall has lesser impact on predictions in this use case
- D. Model 2, because recall is high.
Answer: A
NEW QUESTION # 41
You want to use ADSTuner to tune the hyperparameters of a supported model you recently trained. You have just started your search and want to reduce the computational cost as well as access the quality of the model class that you are using.
What is the most appropriate search space strategy to choose?
- A. Detailed
- B. Perfunctory
- C. ADSTuner doesn't need a search space to tune the hyperparameters.
- D. Pass a dictionary that defines a search space
Answer: B
NEW QUESTION # 42
You are a data scientist building a pipeline in the Oracle Cloud Infrastructure (OCI) Data Science service for your machine learning project. You want to optimize the pipeline completion time by running some steps in parallel. Which statement is true about running pipeline steps in parallel?
- A. Pipeline steps can be run in sequence or in parallel, as long as they create a directed acyclic graph (DAG).
- B. Parallel steps cannot be run if they are completely independent of each other.
- C. All pipeline steps are always run in parallel.
- D. Steps in a pipeline can be run only sequentially.
Answer: A
NEW QUESTION # 43
When preparing your model artifact to save it to the Oracle Cloud Infrastructure (OCI) Data Science model catalog, you create a score.py file. What is the purpose of the score.py fie?
- A. Define the compute scaling strategy.
- B. Configure the deployment infrastructure.
- C. Execute the inference logic code
- D. Define the inference server dependencies.
Answer: B
NEW QUESTION # 44
You are a data scientist working for a utilities company. You have developed an algorithm 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 could you use to save the model artifact into the model catalog?
- A. ODSC CLI
- B. Oracle Cloud Infrastructure (OCI) Command Line Interface (CLI)
- C. Git CLI
- D. Console
- E. OCI Python SDK
- F. Accelerated Data Science (ADS) Software Development Kit (SDK)
Answer: B,E,F
NEW QUESTION # 45
You are a data scientist designing an air traffic control model, and you choose to leverage Oracle 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, Adaptive sampling, Feature selection, Hyperparameter tuning
- D. Algorithm selection, Feature selection, Adaptive sampling, Hyperparameter tuning Want any exam dump in pdf email me at [email protected] (Little Paid)
Answer: B
NEW QUESTION # 46
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. Cramersv_plot{}
- B. Correlation_ratio_plot{}
- C. Pearson_plot{}
- D. Corr{}
Answer: B
NEW QUESTION # 47
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 OCI config 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 (PAR) for the Object Storage bucket, and use that in the job code.
- D. Store your personal OCI config file and keys in the Vault and access the Vault through the job run resource principal.
Answer: B
NEW QUESTION # 48
You want to evaluate the relationship between feature values and target variables. You have a large number of observations having a near uniform distribution and the features are highly correlated.
Which model explanation technique should you choose?
- A. Local Interpretable Model-Agnostic Explanations
- B. Accumulated Local Effects
- C. Feature Permutation Importance Explanations
- D. Feature Dependence Explanations
Answer: B
NEW QUESTION # 49
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 Language
- B. OCI Translation
- C. OCI Anomaly Detection
- D. OCI Speech
Answer: D
NEW QUESTION # 50
What preparation steps are required to access an Oracle AI service SDK from a Data Science notebook session?
- A. Create and upload the API signing key and config file
- B. Create and upload execute.py and runtime.yaml
- C. Call the Accented Data Science (ADS) command to enable Al integration
- D. Import the REST API
Answer: A
NEW QUESTION # 51
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. Punctuation correction
- B. Sentiment analysis
- C. Sentence diagramming
- D. Topic classification
- E. Table extraction
Answer: B,D
NEW QUESTION # 52
You are building a model and need input that represents data as morning, afternoon, or evening.
However, the data contains a time stamp. What part of the Data Science life cycle would you be in when creating the new variable?
- A. Data access
- B. Model type selection
- C. Model validation
- D. Feature engineering
Answer: D
NEW QUESTION # 53
The Accelerated Data Science (ADS) model evaluation classes support different types of machine learning modeling techniques. Which three types of modeling techniques are supported by ADS Evaluators?
- A. K-means Clustering
- B. Recurrent Neural Network
- C. Regression Analysis
- D. Multiclass Classification
- E. Principal Component Analysis
- F. Binary Classification
Answer: C,D,F
NEW QUESTION # 54
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 data. Which of the following THREE statements are correct with respect to installing additional Python libraries to process the data?
- A. You cannot install a library that's not preinstalled in the provided image
- B. You can only install libraries using yum and pip as a normal user.
- C. OCI Data Science allows root privileges in notebook sessions.
- D. You can install any open source package available on a publicly accessible Python Package Index (PyPI) repository.
- E. You can install private or custom libraries from your own internal repositories.
Answer: B,C,D
NEW QUESTION # 55
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, the total number of observations, and distributions of the data. Which Accelerated Data Science (ADS) SDK method from the ADSDataset class would you use?
- A. to_xgb ()
- B. show_corr()
- C. show_in_notebook ()
- D. compute ()
Answer: C
NEW QUESTION # 56
In the Oracle Cloud Infrastructure (OCI) Data Science service, how does Model Catalog help with model deployment and management in MLOps?
- A. It provides a centralized and scalable way to manage models and their metadata.
- B. It helps to package the model and its dependencies into a lightweight, portable container.
- C. It helps to automate the feature engineering process.
- D. It is a database that stores all the features used in a machine learning model.
Answer: A
NEW QUESTION # 57
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. EvaluationMetrics
- B. ADSTuner
- C. ADSExplainer
- D. ADSEvaluator
Answer: D
NEW QUESTION # 58
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 Language
- B. OCI Translation
- C. OCI Anomaly Detection
- D. OCI Speech
Answer: D
NEW QUESTION # 59
Youare a data scientist working for a manufacturing company. You have developed a forecasting 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. What file should be modified to include the missing libraries?
- A. requirements.txt
- B. score.py
- C. runtime.yaml
- D. model_artifact_validate.py
Answer: A
NEW QUESTION # 60
You are preparing a configuration object necessary to create a Data Flow application. Which THREE parameter values should you provide?
- A. The path to the arhive.zip file.
- B. The bucket used to read/write the pySpark script in Object Storage.
- C. The local path to your pySpark script.
- D. The compartment of the Data Flow application.
- E. The display name of the application.
Answer: B,C,E
NEW QUESTION # 61
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