最新の1Z0-1110-26問題集で試験を準備する

Oracle 1Z0-1110-26 試験概要:

Oracle 1Z0-1110-26 試験シラバストピック:

Oracle Cloud Infrastructure Data Science Professional 認定 1Z0-1110-26 試験問題：

1. Which function's objective is to represent the difference between the predictive value and the target value?

A) Optimizer function
B) Cost function
C) Update function
D) Fit function

2. 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 reduces risk if a key is ever compromised
C) Periodically rotating keys makes it easier to reuse keys
D) Periodically rotating keys limits the amount of data encrypted by one key version
E) Key rotation improves encryption efficiency

3. You have just received a new dataset from a colleague. You want to quickly find out summary information about the dataset, such as the types of features, the total number of observations, and distributions of the dat a. Which Accelerated Data Science (ADS) SDK method from the ADSDataset class would you use?

A) compute()
B) show_in_notebook()
C) to_xgb()
D) show_corr()

4. 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 publish --slug <SLUG>
B) odsc conda create --file manifest.yaml
C) conda activate /home/datascience/conda/<SLUG>
D) odsc conda list --override
E) odsc conda init --bucket_namespace <NAMESPACE> --bucket_name <BUCKET>

5. Which statement accurately describes an aspect of machine learning models?

A) Data models are more static and generally require fewer updates than software code.
B) A high-quality model will not need to be retrained as new information is received.
C) Model performance degrades over time due to changes in data.
D) Static predictions become increasingly accurate over time.

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