2024 Latest 1z0-1110-23 Exam Dumps Recently Updated 80 Questions
Oracle 1z0-1110-23 Real 2024 Braindumps Mock Exam Dumps
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NEW QUESTION # 26
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 Anomaly Detection
- C. OCI Language
- D. OCI Translation
Answer: A
NEW QUESTION # 27
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. get_transformed_dataset ()
- C. visualize_transforms ()
- D. fit_transform()
Answer: A
NEW QUESTION # 28
You want to make your model more frugal 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 is appropriate to display the comparability between Continuous and Categorical features?
- A. cramersv_plot()
- B. pearson_plot()
- C. corr()
- D. correlation_ratio_plot()
Answer: D
NEW QUESTION # 29
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 Big Data Service
- B. Oracle Cloud Infrastructure Data Science
- C. Oracle Open Data
- D. Oracle Analytics Cloud
Answer: C
NEW QUESTION # 30
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 # 31
After you have created and opened a notebook session, you want to use the Accelerated Data Science (ADS) SDK to access your data and get started with an exploratory data analysis.
From which two places can you access or install the ADS SDK?
- A. Oracle Big Data Service
- B. Conda environments in Oracle Cloud Infrastructure (OCI) Data Science
- C. Python Package Index (PyPI
- D. Oracle Autonomous Data Warehouse
- E. Oracle Machine Learning (OML)
Answer: B,C
NEW QUESTION # 32
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. Spacy
- B. Data Labelling Service Proprietary JSON
- C. COCO
- D. CONLL V2003
Answer: A,C
NEW QUESTION # 33
You have created a Data Science project in a compartment called Development and shared it with a group of collaborators. You now need to move the project to a different compartment called Production after completing the current development iteration.
Which statement is correct?
- A. Moving a project to a different compartment requires deleting all its associated notebook sessions and models first.
- B. You cannot move a project to a different compartment after it has been created.
- C. Moving a project to a different compartment also moves its associated notebook sessions and models to the new compartment.
- D. You can move a project to a different compartment without affecting its associated notebook sessions and models
Answer: C
NEW QUESTION # 34
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. Reconfigure the job run because Data Science Jobs does not support embarrassingly parallel workloads.
- B. 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.
- C. Create the job in Data Science Jobs and then start the number of simultaneous jobs runs required for your workload.
- D. 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.
Answer: C
NEW QUESTION # 35
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. You can implement custom logging in your code by using the Data Science Jobs logging service.
- 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. Create your own log group and use a third-party logging service to capture job run details for log collection and storing.
- D. 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.
Answer: B
NEW QUESTION # 36
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. show_in_notebook()
- D. DataFramLabelEncode()
Answer: D
NEW QUESTION # 37
You have a complex Python code project that could benefit from using Data Science Jobs as it is a repeatable machine learning model training task. The project contains many subfolders and classes.
What is the best way to run this project as a Job?
- A. Rewrite your code so that it is a single executable Python or Bash/Shell script file.
- B. ZIP the entire code project folder and upload it as a Job artifact. Jobs automatically identifies the_main_ top level where the code is run.
- C. ZIP the entire code project folder, upload it as a Job artifact on job creation, and set JOB_RUN_ENTRYPOINT to point to the main executable file.
- D. ZIP the entire code project folder and upload it as a Job artifact on job creation. Jobs identifies the main executable file automatically.
Answer: C
NEW QUESTION # 38
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. Rivert-Shamir-Adleman Keys
- B. Elliptical Curve Cryptography Digital Signature Algorithm
- C. Advanced Encryption Standard Keys
- D. Triple Data Encryption Standard Algorithm
Answer: C
NEW QUESTION # 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 a new job by setting the required parameters in your code and create a new job for every code change.
- 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 every time you need to run your code and pass the parameters as environment variables.
- 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 # 40
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 DataFram
- B. JSON
- C. DOCX
- D. XML
- E. Raw Images
Answer: A,B,D
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. EvaluationMetrics
- B. ADSTuner
- C. ADSExplainer
- D. ADSEvaluator
Answer: D
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. Sentence diagramming
- B. Sentiment analysis
- C. Table extraction
- D. Punctuation correction
- E. Topic classification
Answer: B,E
NEW QUESTION # 43
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. Create a new job with increased storage size and then run the job.
- B. Edit the job, change the size of the storage of your job, and start a new job run.
- C. Your code using too much disk space. Refactor the code to identify the problem.
- D. On the job run, set the environment variable that helps increase the size of the storage.
Answer: B
NEW QUESTION # 44
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. Table of Contents
- C. Command Palette
- D. Notebook Examples
- E. Environment Explorer
Answer: D,E
NEW QUESTION # 45
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 # 46
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. Periodically rotating keys make it easier to reuse keys.
- B. Key rotation reduces risk if a key is ever compromised.
- C. Key rotation allows you to encrypt no more than five keys at a time.
- D. Periodically rotating keys limits the amount of data encrypted by one key version.
- E. Key rotation improves encryption efficiency.
Answer: B,D
NEW QUESTION # 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. 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.
- B. 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.
- C. Deactivate your notebook session, provision a new notebook session on a larger compute shape and re-create all of 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 session with a larger compute shape selected.
Answer: D
NEW QUESTION # 48
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