[Jan-2024] Oracle 1z0-1110-23 Exam Practice Test Questions - VerifiedDumps
Updated Certification Exam 1z0-1110-23 Dumps - Practice Test Questions
NEW QUESTION # 25
You have an embarrassingly parallel or distributed batch job on a large amount of data that you consider running using Data Science Jobs. What would be the best approach to run the workload?
- A. 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.
- B. Reconfigure the job run because Data Science Jobs does not support embarrassingly parallel workloads.
- C. Create a new job for every job run that you have to run in parallel, because the Data 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 jobs runs required for your workload.
Answer: D
NEW QUESTION # 26
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. ADSTuner
- B. DataLabeling
- C. DatasetBrowser
- D. SecretKeeper
Answer: C
NEW QUESTION # 27
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. score.py
- B. runtime.yaml
- C. requirements.txt
- D. model_artifact_validate.py
Answer: C
NEW QUESTION # 28
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 Speech
- B. OCI Language
- C. OCI Translation
- D. OCI Anomaly Detection
Answer: A
NEW QUESTION # 29
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 either as environment variables or as command line arguments, which are set on every job run with different values.
- C. Create your code to expect different parameters as command line arguments and create a new job every time you run the code.
- D. Create a new job by setting the required parameters in your code and create a new job for every code change.
Answer: B
NEW QUESTION # 30
data scientist, you use the Oracle Cloud Infrastructure (OCI) Language service to train custom models. Which types of custom models can be trained?
- A. Sentiment Analysis, Named Entity Recognition (NER)
- B. Object detection, Text classification
- C. Image classification, Named Entity Recognition (NER)
- D. Text classification, Named Entity Recognition (NER)
Answer: D
NEW QUESTION # 31
You want to build a multistep machine learning workflow by using the Oracle Cloud Infrastructure (OCI) Data Science Pipeline feature. How would you configure the conda environment to run a pipeline step?
- A. Use environmental variables
- B. Configure a compute shape.
- C. Use command-line variables.
- D. Configure a block volume.
Answer: A
NEW QUESTION # 32
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. Edit the job, change the size of the storage of your job, and start a new job run.
- B. On the job run, set the environment variable that helps increase the size of the storage.
- C. Your code using too much disk space. Refactor the code to identify the problem.
- D. Create a new job with increased storage size and then run the job.
Answer: A
NEW QUESTION # 33
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. DataFramLabelEncode()
- B. show_in_notebook()
- C. auto_transform()
- D. OneHotEncoder()
Answer: A
NEW QUESTION # 34
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 create --file manifest.yaml
- C. conda activate /home/datascience/conda/<SLUG>
- D. odac conda publish --slug <SLUG>
- E. odsc conda init --bucket_namespace <NAMESPACE> --bucket_name <BUCKET>
Answer: D,E
NEW QUESTION # 35
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 is high.
- 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 has more impact on predictions in this use se.
Answer: D
NEW QUESTION # 36
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. Feature Dependence Explanations
- C. Accumulated Local Effects
- D. Feature Permutation Importance Explanations
Answer: C
NEW QUESTION # 37
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 improves encryption efficiency.
- B. Key rotation allows you to encrypt no more than five keys at a time.
- C. Key rotation reduces risk if a key is ever compromised.
- D. Periodically rotating keys limits the amount of data encrypted by one key version.
- E. Periodically rotating keys make it easier to reuse keys.
Answer: C,D
NEW QUESTION # 38
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. Create your own log group and use a third-party logging service to capture job run details for log collection and storing.
- B. 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.
- C. On job creation, enable logging and select a log group. Then, select either a log or the option to enable automatic log creation.
- D. You can implement custom logging in your code by using the Data Science Jobs logging service.
Answer: C
NEW QUESTION # 39
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. Image classification
- C. Text recognition
- D. Key Value extraction
Answer: C
NEW QUESTION # 40
The Oracle AutoML pipeline automates hyperparameter tuning by training the model with different parameters in parallel. You have created an instance of Oracle AutoML as ora-cle_automl and now you want an output with all the different trials performed by Oracle Au-toML. Which of the following command gives you the results of all the trials?
- A. Oracle.automl.visualize_adaptive_sampling_trails()
- B. Oracle.automl.visualize_algorith_selection_trails()
- C. Oracle.automl.print_trials()
- D. Oracle.automl.visualize_tuning_trails()
Answer: C
NEW QUESTION # 41
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. ADSEvaluator
- B. ADSTuner
- C. ADSExplainer
- D. EvaluationMetrics
Answer: A
NEW QUESTION # 42
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. Punctuation correction
- C. Sentiment analysis
- D. Sentence diagramming
- E. Table extraction
Answer: A
NEW QUESTION # 43
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. Create a pre-authenticated request (PAR) for the Object Storage bucket, and use that in the job code.
- 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. 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: B
NEW QUESTION # 44
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. auto_transform()
- B. fit_transform()
- C. get_transformed_dataset ()
- D. visualize_transforms ()
Answer: A
NEW QUESTION # 45
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 a single label 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 labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.
- E. Adding multiple labels to an image.
Answer: A,C,E
NEW QUESTION # 46
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_closed_handler handler.
- B. Execute the is_tech_job_open_handler handler.
- C. Execute the is_tech_job_default_handler sales handler.
- D. Throw an error because the system cannot determine which handler to run.
Answer: D
NEW QUESTION # 47
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