
[2024年03月26日]1z0-1110-23試験ブレーン問題集で学習注釈と理論
合格させるOracle 1z0-1110-23テスト練習テスト問題試験問題集
Oracle 1z0-1110-23 認定試験の出題範囲:
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質問 # 39
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 your code to expect different parameters as command line arguments and create a new job every time you run the code.
- B. Create a new job every time you need to run your code and pass the parameters as environment variables.
- 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.
正解:D
質問 # 40
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. ADSExplainer
- B. ADSEvaluator
- C. EvaluationMetrics
- D. ADSTuner
正解:B
質問 # 41
You are attempting to save a model from a notebook session to the model catalog by using the Accelerated Data Science (ADS) SDK, with resource principal as the authentication signer, and you get a 404 authentication error. Which two should you look for to ensure permissions are set up correctly?
- A. The model artifact is saved to the block volume of the notebook session.
- B. The networking configuration allows access to Oracle Cloud Infrastructure services through a Service Gateway.
- C. The policy for a dynamic group grant manages permissions for the model catalog in it compartment.
- D. The policy for your user group grants manages permissions for the model catalog in this compartment.
- E. A dynamic group has rules that matching the notebook sessions in it compartment.
正解:D、E
質問 # 42
Which two statements are true about published conda environments?
- A. You can only create a published conda environment by modifying a Data Science conda environment.
- B. They are curated by Oracle Cloud Infrastructure (OCI) Data Science.
- C. The odac conda init command is used to configure the location of published conda environments.
- D. In addition to service job run environment variables, conda environment variables can be used in Data Science Jobs.
- E. Your notebook session acts as the source to share published conda environments with team members.
正解:D、E
質問 # 43
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 DataFrame
- B. XML
- C. Raw Images
- D. DOCX
- E. JSON
正解:A、B
質問 # 44
You have just completed analyzing a set of images by using Oracle Cloud Infrastructure (OCI) Data Labelling, and you want to export the annotated data. Which two formats are supported?
- A. CONLL V2003
- B. Spacy
- C. COCO
- D. Data Labelling Service Proprietary JSON
正解:B、C
質問 # 45
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 hyperparameter tuning is completed?
- A. The last generated hyperparameter configuration is returned
- B. A hyperparameter configuration with a minimum learning rate is returned.
- C. The current best-known hyperparameter configuration is returned.
- D. A random hyperparameter configuration is returned.
正解:C
質問 # 46
3. 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 file?
- A. Define the inference server dependencies
- B. Configure the deployment infrastructure.
- C. Define the compute scaling strategy.
- D. Execute the inference logic code.
正解:D
質問 # 47
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. 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. - 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. Deactivate your notebook session, provision a new notebook session on a larger compute shape and re-create all of your file changes.
正解:A
質問 # 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. Triple Data Encryption Standard Algorithm
- B. Advanced Encryption Standard Keys
- C. Elliptical Curve Cryptography Digital Signature Algorithm
- D. Rivert-Shamir-Adleman Keys
正解:B
質問 # 49
While reviewing your data, you discover that your data set has a class imbalance. You are aware that the Accelerated Data Science (ADS) SDK provides multiple built-in automatic transformation tools for data set transformation. Which would be the right tool to correct any imbalance between the classes?
- A. sample()
- B. visualize_transforms()
- C. suggeste_recoomendations()
- D. auto_transform()
正解:D
質問 # 50
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 1, because recall has lesser impact on predictions in this use case
- B. Model 1, because the test accuracy is high.
- C. Model 2, because recall has more impact on predictions in this use se.
- D. Model 2, because recall is high.
正解:C
質問 # 51
Select two reasons why it is important to rotate encryption keys when using Oracle Cloud Infrastructure (OCI) Vault to store credentials or other secrets.
- A. Key rotation allows you to encrypt no more than five keys at a time.
- B. Key rotation improves encryption efficiency.
- C. Periodically rotating keys limits the amount of data encrypted by one key version.
- D. Periodically rotating keys make it easier to reuse keys.
- E. Key rotation reduces risk if a key is ever compromised.
正解:C、E
質問 # 52
You loaded data into Oracle Cloud Infrastructure (OCI) Data Science. To transform the data, you want to use the Accelerated Data Science (ADS) SDK. When you applied the get_recommendations () tool to the ADSDataset object, it showed you user-detected issues with all the recommended changes to apply to the dataset. Which option should you use to apply all the recommended transformations at once?
- A. fit_transform()
- B. get_transformed_dataset ()
- C. auto_transform()
- D. visualize_transforms ()
正解:C
質問 # 53
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. Create a pre-authenticated request (PAR) for the Object Storage bucket, and use that in the job code.
- C. 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.
- D. Store your personal OCI config file and keys in the Vault and access the Vault through the job run resource principal.
正解:C
質問 # 54
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 Translation
- B. OCI Language
- C. OCI Speech
- D. OCI Anomaly Detection
正解:C
質問 # 55
While reviewing your data, you discover that your data set has a class imbalance. You are aware that the Accelerated Data Science (ADS) SDK provides multiple built-in automatic transformation tools for data set transformation. Which would be the right tool to correct any imbalance between the classes?
- A. suggest_recommendations()
- B. sample ()
- C. auto_transform()
- D. visualize_transforms ()
正解:B
質問 # 56
Six months ago, you created and deployed a model that predicts customer churn for a call centre. Initially, it was yielding quality predictions. However, over the last two months, users are questioning the credibility of the predictions.
Which two methods would you employ to verify the accuracy of the model?
- A. Validate the model using recent data
- B. Redeploy the model
- C. Drift monitoring
- D. Operational monitoring
- E. Retrain the model
正解:A、C
質問 # 57
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. score.py
- D. runtime.yaml
正解:A
質問 # 58
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) SDK. Develop your PySpark application. - B. 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.
- C. 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. - D. Develop your PySpark application. Create a Data Flow application with the Accelerated Data Science (ADS) SDK.
- E. Launch a notebook session. Configure core-site.xml. Install a PySpark conda environment.
正解:C
質問 # 59
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 an image using object detection, by drawing bounding boxes to an im-age.
- B. Adding a single label to an image.
- C. Adding multiple labels to an image.
- D. Adding labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.
- E. Adding labels to an image by drawing bounding box to an image, is not supported by Data Labeling
正解:A、B、C
質問 # 60
What preparation steps are required to access an Oracle AI service SDK from a Data Science notebook session?
- A. Create and upload score.py and runtime.yaml.
- B. Import the REST API.
- C. Create and upload the APIsigning key and config file.
- D. Call the ADS command to enable AI integration
正解:C
質問 # 61
. 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 add more instances.
- B. Update the deployment to use a larger virtual machine (more CPUs/memory).
- C. Reduce the load balancer bandwidth limit so that fewer requests come in.
- D. Delete the deployment.
- E. Update the deployment to use fewer instances.
正解:A、B、C
質問 # 62
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. Accelerated Data Science (ADS) Software Development Kit (SDK)
- C. Oracle Cloud Infrastructure (OCI) Command Line Interface (CLI)
- D. OCI Python SDK
- E. Console
- F. ODSC CLI
正解:B、C、D
質問 # 63
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