Verified 1z0-1110-23 dumps Q&As - Pass Guarantee Exam Dumps Test Engine [2024]
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NEW QUESTION # 18
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. Key Value extraction
- D. Text recognition
Answer: D
NEW QUESTION # 19
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. Steps in a pipeline can be run only sequentially.
- D. All pipeline steps are always run in parallel.
Answer: A
NEW QUESTION # 20
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. SecretKeeper
- B. ADSTuner
- C. DatasetBrowser
- D. DataLabeling
Answer: C
NEW QUESTION # 21
Where do calls to stdout and stderr from score.py go in a model deployment?
- A. The predict log in the Oracle Cloud Infrastructure (OCI) Logging service as defined in the deployment.
- B. The OCI Cloud Shell, which can be accessed from the console.
- C. The OCI console.
- D. The file that was defined for them on the Virtual stachine (VM).
Answer: A
NEW QUESTION # 22
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. Launch a notebook session. Configure core-site.xml. Install a PySpark conda environment.
- 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. Develop your PySpark application. Create a Data Flow application with the Accelerated Data Science (ADS) SDK.
- D. 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. - E. 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.
Answer: D
NEW QUESTION # 23
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. Store your personal OCI config file and keys in the Vault and access the Vault through the job run resource principal.
- D. 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.
Answer: D
NEW QUESTION # 24
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 efficient 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. Create a new job with increased storage size and then run the job.
- C. Your code is 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: A
NEW QUESTION # 25
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. auto_transform()
- B. sample()
- C. visualize_transforms()
- D. suggeste_recoomendations()
Answer: A
NEW QUESTION # 26
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. Data Labelling Service Proprietary JSON
- C. COCO
- D. Spacy
Answer: C,D
NEW QUESTION # 27
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, total number of observations, and data distributions, Which Accelerated Data Science (ADS) SDK method from the AD&Dataset class would you use?
- A. To_xgb{}
- B. Compute{}
- C. Show_corr{}
- D. Show_in_notebook{}
Answer: D
NEW QUESTION # 28
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 Open Data
- B. Oracle Cloud Infrastructure Data Science
- C. Oracle Analytics Cloud
- D. Oracle Big Data Service
Answer: A
NEW QUESTION # 29
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. ADSTuner
- C. ADSEvaluator
- D. EvaluationMetrics
Answer: C
NEW QUESTION # 30
Which TWO statements are true about published conda environments?
- A. They can be used in Data Science Jobs and model deployments.
- B. You can only create published conda environment by modifying a Data Science conde
- C. They are curated by Oracle Cloud Infrastructure (OCI) Data Science.
- D. The odsc conda init command is used to configure the location of published conda en-vironments.
- E. Your notebook session acts as the source to share published conda environment with team members.
Answer: D,E
NEW QUESTION # 31
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 # 32
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. Periodically rotating keys make it easier to reuse keys.
- C. Key rotation allows you to encrypt no more than five keys at a time.
- D. Key rotation reduces risk if a key is ever compromised.
- E. Periodically rotating keys limits the amount of data encrypted by one key version.
Answer: D,E
NEW QUESTION # 33
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. Model type selection
- B. Feature engineering
- C. Data access
- D. Model validation
Answer: D
NEW QUESTION # 34
data scientist, you use the Oracle Cloud Infrastructure (OCI) Language service to train custom models. Which types of custom models can be trained?
- A. Image classification, Named Entity Recognition (NER)
- B. Object detection, Text classification
- C. Text classification, Named Entity Recognition (NER)
- D. Sentiment Analysis, Named Entity Recognition (NER)
Answer: C
NEW QUESTION # 35
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. You cannot move a project to a different compartment after it has been created.
- B. You can move a project to a different compartment without affecting its associated notebook sessions and models
- C. Moving a project to a different compartment also moves its associated notebook sessions and models to the new compartment.
- D. Moving a project to a different compartment requires deleting all its associated notebook sessions and models first.
Answer: C
NEW QUESTION # 36
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. Sentence diagramming
- C. Table extraction
- D. Punctuation correction
- E. Sentiment analysis
Answer: A,E
NEW QUESTION # 37
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 OC file and keys in the job artifact.
- B. Store your personal OCI config file and kays in the Vault, and access the Vault through the job nun resource principal
- C. Create a pre-authenticated request (PAA) for the Object Storage bucket, and use that in the job code.
- D. 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.
Answer: D
NEW QUESTION # 38
Which two statements are true about published conda environments?
- A. In addition to service job run environment variables, conda environment variables can be used in Data Science Jobs.
- B. They are curated by Oracle Cloud Infrastructure (OCI) Data Science.
- C. Your notebook session acts as the source to share published conda environments with team members.
- D. The odac conda init command is used to configure the location of published conda environments.
- E. You can only create a published conda environment by modifying a Data Science conda environment.
Answer: A,C
NEW QUESTION # 39
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. Configure the deployment infrastructure.
- B. Execute the inference logic code
- C. Define the inference server dependencies.
- D. Define the compute scaling strategy.
Answer: A
NEW QUESTION # 40
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