1z0-1110-23 Exam Questions - Real & Updated Questions PDF
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NEW QUESTION # 30
Which feature of the Oracle Cloud Infrastructure (OCI) Vision service helps you generate in-dexing tags for a collection of marketing photographs?
- A. Document classification
- B. Text recognition
- C. Image classification
- D. Key Value extraction
Answer: B
NEW QUESTION # 31
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. Topic classification
- B. Table extraction
- C. Punctuation correction
- D. Sentiment analysis
- E. Sentence diagramming
Answer: A
NEW QUESTION # 32
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. Terminal
- B. Environment Explorer
- C. Notebook Examples
- D. Table of Contents
- E. Command Palette
Answer: B,C
NEW QUESTION # 33
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. Accumulated Local Effects
- B. Feature Dependence Explanations
- C. Feature Permutation Importance Explanations
- D. Local Interpretable Model-Agnostic Explanations
Answer: A
NEW QUESTION # 34
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. model_artifact_validate.py
- C. runtime.yaml
- D. score.py
Answer: A
NEW QUESTION # 35
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. Algorithm selection, Adaptive sampling, Feature selection, Hyperparameter tuning
- B. Adaptive sampling, Feature selection, Algorithm selection, Hyperparameter tuning
- C. Adaptive sampling, Algorithm selection, 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: C
NEW QUESTION # 36
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. Update the deployment to use fewer instances.
- B. Reduce the load balancer bandwidth limit so that fewer requests come in.
- C. Delete the deployment.
- D. Update the deployment to use a larger virtual machine (mare CPUs/memory).
- E. Update the deployment to add more instances.
Answer: E
NEW QUESTION # 37
You want to ensure that all stdout and stderr from your code are automatically collected and logged, without implementing additional logging in your code. How would you achieve this with Data Science Jobs?
- A. Make sure that your code is using the standard logging library and then store all the logs to Object Storage at the end of the job.
- B. On job creation, enable logging and select a log group. Then, select either a log or the option to enable automatic log creation.
- C. You can implement custom logging in your code by using the Data Science Jobs logging service.
- D. Create your own log group and use a third-party logging service to capture job run details for log collection and storing.
Answer: B
NEW QUESTION # 38
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. 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.
- B. Create a pre-authenticated request (PAR) for the Object Storage bucket, and use that in the job code.
- C. Store your personal OCI config file and keys in the Vault and access the Vault through the job run resource principal.
- D. Package your personal OCI config file and keys in the job artifact
Answer: A
NEW QUESTION # 39
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 install any open source package available on a publicly accessible Python Package Index (PyPI) repository.
- C. You can only install libraries using yum and pip as a normal user.
- D. OCI Data Science allows root privileges in notebook sessions.
- E. You can install private or custom libraries from your own internal repositories.
Answer: B,C,D
NEW QUESTION # 40
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. Execute the inference logic code
- B. Define the inference server dependencies.
- C. Define the compute scaling strategy.
- D. Configure the deployment infrastructure.
Answer: D
NEW QUESTION # 41
You are a computer vision engineer building an image recognition model. You decide to use Oracle Data Labeling to annotate your image data. Which of the following THREE are possible ways to annotate an image in Data Labeling?
- A. Adding labels to image using semantic segmentation, by drawing multiple bounding boxes 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 a single label to an image.
- E. Adding multiple labels to an image.
Answer: C,D,E
NEW QUESTION # 42
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. Correlation_ratio_plot{}
- B. Pearson_plot{}
- C. Cramersv_plot{}
- D. Corr{}
Answer: A
NEW QUESTION # 43
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 behaviours of machine learning models are similar.
- C. Model-agnostic techniques are more interpretable than techniques that are dependent on the types of models.
- D. Global behaviour of a machine learning model may be complex, while the local behaviour may be approximated with a simpler surrogate model.
Answer: D
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. Git CLI
- B. Console
- C. Oracle Cloud Infrastructure (OCI) Command Line Interface (CLI)
- D. ODSC CLI
- E. Accelerated Data Science (ADS) Software Development Kit (SDK)
- F. OCI Python SDK
Answer: C,E,F
NEW QUESTION # 45
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 parameters with Oracle Data Science Jobs?
- A. Create a new job every time you need to run your code and pass the parameters as environment variables.
- B. Create your code to expect different parameters as command line arguments and create a new job every time you run the code.
- C. Create a new job by setting the required parameters in your code and create a new job for every code change.
- 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.
Answer: D
NEW QUESTION # 46
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 Accelerated Data Science (ADS) SDK.
- B. Install a Spark conda environment. Configure core-site.xml. Launch a notebook session.
Create a Data Flow application with the Accelerated Data Science (ADS) SDK. Develop your PySpark application. - 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 application. Launch a notebook session.
- D. Launch a notebook session. Configure core-site.xml. Install a PySpark conda environment.
- E. Launch a notebook session. Install a PySpark conda environment. Configure core-site.xml.
Develop your PySpark application. Create a Data Flow application with the Accelerated Data Science (ADS) SDK.
Answer: 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. ADSTuner
- B. EvaluationMetrics
- C. ADSExplainer
- D. ADSEvaluator
Answer: D
NEW QUESTION # 48
As a data scientist, you have stored sensitive data in a database. You need to protect this data by using a master encryption algorithm, which uses symmetric keys. Which master encryption algorithm would you choose in the Oracle Cloud Infrastructure (OCI) Vault service?
- A. Elliptical Curve Cryptography Digital Signature Algorithm
- B. Triple Data Encryption Standard Algorithm
- C. Advanced Encryption Standard Keys
- D. Rivert-Shamir-Adleman Keys
Answer: C
NEW QUESTION # 49
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. Key-Point and Landmark
- C. Classification (single/multi label)
- D. Semantic Segmentation
- E. Named Entity Extraction
- F. Object Detection
Answer: C,E,F
NEW QUESTION # 50
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 conda environment. After running this command, you get a network timeout error.
What might be missing from your networking configuration?
- A. Primary Virtual Network Interface Card (VNIC).
- B. NAT Gateway with public internet access.
- C. FastConnect to an on-premises network.
- D. Service Gateway with private subnet access
Answer: B
NEW QUESTION # 51
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