暗記メーカー

OCI Datascience 2025-01

OCI Datascience 2025-01

7問 • 10ヶ月前

Hideki Ishibashi

問題一覧

1

What is the key difference between one-hot encoding and label encoding in categorical feature transformation?

One-hot encoding converts a categorical column into multiple binary columns, while label encoding assigns unique integers.

2

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?

On job creation, enable logging and select a log group. Then, select either a log or the option to enable automatic log creation.

3

Using Oracle AutoML, you are tuning hyperperameters 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?

The current best-known hyperparameter configuration is returned.

4

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?

You can move a project to a different compartment without affecting its associated notebook sessions and models.

5

Which two statements are true about published conda environments?

The odsc conda init command is used to configure the location of published conda environments., Your notebook session acts as the source to share published conda environments with team members.

6

You train a model to predict housing prices for your city. Which two metrics from the Accelerated Data Science (ADS) ADSEvaluator class can you use to evaluate the regression model?

Explained Variance Score, Mean Absolute Error

7

You are setting up a fine-tuning job for a pre-trained model on Oracle Data Science. You obtain the pre-trained model from HuggingFace, define the training job using the ADS Python API, and specify the OCI bucket. The training script includes downloading the model and dataset. Which of the following steps will be handled automatically by the ADS during the job run?

Setting up the conda environment and installing additional dependencies

OCI Architect 2024

OCI Architect 2024

Hideki Ishibashi · 12問 · 1年前

OCI Architect 2024

OCI Architect 2024

12問 • 1年前

Hideki Ishibashi

AZ-140 YES or No

AZ-140 YES or No

Hideki Ishibashi · 25問 · 1年前

AZ-140 YES or No

AZ-140 YES or No

25問 • 1年前

Hideki Ishibashi

AZ-350_01

AZ-350_01

Hideki Ishibashi · 66問 · 1年前

AZ-350_01

AZ-350_01

66問 • 1年前

Hideki Ishibashi

AZ-350_02

AZ-350_02

Hideki Ishibashi · 29問 · 1年前

AZ-350_02

AZ-350_02

29問 • 1年前

Hideki Ishibashi

AZ350-03_Yes or No

AZ350-03_Yes or No

Hideki Ishibashi · 15問 · 1年前

AZ350-03_Yes or No

AZ350-03_Yes or No

15問 • 1年前

Hideki Ishibashi

AZ-140 02

AZ-140 02

Hideki Ishibashi · 3回閲覧 · 12問 · 1年前

AZ-140 02

AZ-140 02

3回閲覧 • 12問 • 1年前

Hideki Ishibashi

AZ350-03

AZ350-03

Hideki Ishibashi · 51問 · 1年前

AZ350-03

AZ350-03

51問 • 1年前

Hideki Ishibashi

AZ350-04

AZ350-04

Hideki Ishibashi · 7問 · 1年前

AZ350-04

AZ350-04

7問 • 1年前

Hideki Ishibashi

AZ350-CaseStudy

AZ350-CaseStudy

Hideki Ishibashi · 9問 · 1年前

AZ350-CaseStudy

AZ350-CaseStudy

9問 • 1年前

Hideki Ishibashi

AZ-350-CaseStudy02

AZ-350-CaseStudy02

Hideki Ishibashi · 7問 · 1年前

AZ-350-CaseStudy02

AZ-350-CaseStudy02

7問 • 1年前

Hideki Ishibashi

AZ350-CaseStudy03

AZ350-CaseStudy03

Hideki Ishibashi · 9問 · 1年前

AZ350-CaseStudy03

AZ350-CaseStudy03

9問 • 1年前

Hideki Ishibashi

AZ-140 追加問題

AZ-140 追加問題

Hideki Ishibashi · 11問 · 1年前

AZ-140 追加問題

AZ-140 追加問題

11問 • 1年前

Hideki Ishibashi

AZ-140 追加問題Yes or No

AZ-140 追加問題Yes or No

Hideki Ishibashi · 6問 · 1年前

AZ-140 追加問題Yes or No

AZ-140 追加問題Yes or No

6問 • 1年前

Hideki Ishibashi

AZ140-追加問題選択

AZ140-追加問題選択

Hideki Ishibashi · 25問 · 1年前

AZ140-追加問題選択

AZ140-追加問題選択

25問 • 1年前

Hideki Ishibashi

Oracle Silver01

Oracle Silver01

Hideki Ishibashi · 40問 · 12ヶ月前

Oracle Silver01

Oracle Silver01

40問 • 12ヶ月前

Hideki Ishibashi

Oracle Silver02

Oracle Silver02

Hideki Ishibashi · 40問 · 11ヶ月前

Oracle Silver02

Oracle Silver02

40問 • 11ヶ月前

Hideki Ishibashi

Oracle Silver03

Oracle Silver03

Hideki Ishibashi · 40問 · 11ヶ月前

Oracle Silver03

Oracle Silver03

40問 • 11ヶ月前

Hideki Ishibashi

OCI試験で間違えたところ

OCI試験で間違えたところ

Hideki Ishibashi · 13問 · 11ヶ月前

OCI試験で間違えたところ

OCI試験で間違えたところ

13問 • 11ヶ月前

Hideki Ishibashi

1-1

1-1

Hideki Ishibashi · 16問 · 11ヶ月前

1-1

1-1

16問 • 11ヶ月前

Hideki Ishibashi

1-2

1-2

Hideki Ishibashi · 14問 · 11ヶ月前

1-2

1-2

14問 • 11ヶ月前

Hideki Ishibashi

Oracle Silver04

Oracle Silver04

Hideki Ishibashi · 30問 · 11ヶ月前

Oracle Silver04

Oracle Silver04

30問 • 11ヶ月前

Hideki Ishibashi

Oracle Silver05

Oracle Silver05

Hideki Ishibashi · 22問 · 11ヶ月前

Oracle Silver05

Oracle Silver05

22問 • 11ヶ月前

Hideki Ishibashi

Oracle Autonomous Database-01-01

Oracle Autonomous Database-01-01

Hideki Ishibashi · 15問 · 11ヶ月前

Oracle Autonomous Database-01-01

Oracle Autonomous Database-01-01

15問 • 11ヶ月前

Hideki Ishibashi

Oracle Autonomous Database-01-02

Oracle Autonomous Database-01-02

Hideki Ishibashi · 18問 · 11ヶ月前

Oracle Autonomous Database-01-02

Oracle Autonomous Database-01-02

18問 • 11ヶ月前

Hideki Ishibashi

Oracle Autonomous Database-01-03

Oracle Autonomous Database-01-03

Hideki Ishibashi · 6回閲覧 · 21問 · 11ヶ月前

Oracle Autonomous Database-01-03

Oracle Autonomous Database-01-03

6回閲覧 • 21問 • 11ヶ月前

Hideki Ishibashi

OCI Security-01

OCI Security-01

Hideki Ishibashi · 9問 · 11ヶ月前

OCI Security-01

OCI Security-01

9問 • 11ヶ月前

Hideki Ishibashi

OCI模擬問題集

OCI模擬問題集

Hideki Ishibashi · 16問 · 11ヶ月前

OCI模擬問題集

OCI模擬問題集

16問 • 11ヶ月前

Hideki Ishibashi

Oracle Cloud Database 2024 Migration Professional-01

Oracle Cloud Database 2024 Migration Professional-01

Hideki Ishibashi · 25問 · 11ヶ月前

Oracle Cloud Database 2024 Migration Professional-01

Oracle Cloud Database 2024 Migration Professional-01

25問 • 11ヶ月前

Hideki Ishibashi

Mock Exam 1: OCI Database Migration Certified Professional

Mock Exam 1: OCI Database Migration Certified Professional

Hideki Ishibashi · 14問 · 11ヶ月前

Mock Exam 1: OCI Database Migration Certified Professional

Mock Exam 1: OCI Database Migration Certified Professional

14問 • 11ヶ月前

Hideki Ishibashi

Mock Exam 2: OCI Database Migration Certified Professional

Mock Exam 2: OCI Database Migration Certified Professional

Hideki Ishibashi · 16問 · 11ヶ月前

Mock Exam 2: OCI Database Migration Certified Professional

Mock Exam 2: OCI Database Migration Certified Professional

16問 • 11ヶ月前

Hideki Ishibashi

Oracle Analytics Cloud 2025-01

Oracle Analytics Cloud 2025-01

Hideki Ishibashi · 11問 · 10ヶ月前

Oracle Analytics Cloud 2025-01

Oracle Analytics Cloud 2025-01

11問 • 10ヶ月前

Hideki Ishibashi

Oracle Analytics Cloud 2025-02

Oracle Analytics Cloud 2025-02

Hideki Ishibashi · 20問 · 10ヶ月前

Oracle Analytics Cloud 2025-02

Oracle Analytics Cloud 2025-02

20問 • 10ヶ月前

Hideki Ishibashi

OCI Networking 2024 01 5/11

OCI Networking 2024 01 5/11

Hideki Ishibashi · 5問 · 10ヶ月前

OCI Networking 2024 01 5/11

OCI Networking 2024 01 5/11

5問 • 10ヶ月前

Hideki Ishibashi

OCI Networking模擬問題01 5/11

OCI Networking模擬問題01 5/11

Hideki Ishibashi · 5回閲覧 · 16問 · 10ヶ月前

OCI Networking模擬問題01 5/11

OCI Networking模擬問題01 5/11

5回閲覧 • 16問 • 10ヶ月前

Hideki Ishibashi

OCI Networking 2024 05/15 Last

OCI Networking 2024 05/15 Last

Hideki Ishibashi · 5問 · 10ヶ月前

OCI Networking 2024 05/15 Last

OCI Networking 2024 05/15 Last

5問 • 10ヶ月前

Hideki Ishibashi

OCI Networking 2024 last 05/18

OCI Networking 2024 last 05/18

Hideki Ishibashi · 15問 · 10ヶ月前

OCI Networking 2024 last 05/18

OCI Networking 2024 last 05/18

15問 • 10ヶ月前

Hideki Ishibashi

問題一覧

1

What is the key difference between one-hot encoding and label encoding in categorical feature transformation?

One-hot encoding converts a categorical column into multiple binary columns, while label encoding assigns unique integers.

2

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?

On job creation, enable logging and select a log group. Then, select either a log or the option to enable automatic log creation.

3

Using Oracle AutoML, you are tuning hyperperameters 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?

The current best-known hyperparameter configuration is returned.

4

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?

You can move a project to a different compartment without affecting its associated notebook sessions and models.

5

Which two statements are true about published conda environments?

The odsc conda init command is used to configure the location of published conda environments., Your notebook session acts as the source to share published conda environments with team members.

6

You train a model to predict housing prices for your city. Which two metrics from the Accelerated Data Science (ADS) ADSEvaluator class can you use to evaluate the regression model?

Explained Variance Score, Mean Absolute Error

7

You are setting up a fine-tuning job for a pre-trained model on Oracle Data Science. You obtain the pre-trained model from HuggingFace, define the training job using the ADS Python API, and specify the OCI bucket. The training script includes downloading the model and dataset. Which of the following steps will be handled automatically by the ADS during the job run?

Setting up the conda environment and installing additional dependencies