Oracle 1Z0-1110-25 Online Practice Questions and Exam Preparation

Oracle 1Z0-1110-25 Online Questions & Answers

• Question 121:

  Which stage in the machine learning life cycle helps in identifying the imbalance present in the data?

  A. Data Modeling
  B. Data Monitoring
  C. Data Exploration
  D. Data Access
  C. Data Exploration

• Question 122:

  Which of these protects customer data at rest and in transit in a way that allows customers to meet their security and compliance requirements for cryptographic algorithms and key management?

  A. Security controls
  B. Customer isolation
  C. Data encryption
  D. Identity Federation
  C. Data encryption

• Question 123:

  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. get_transformed_dataset()
  B. fit_transform()
  C. auto_transform()
  D. visualize_transforms()
  C. auto_transform()

• Question 124:

  You are a data scientist leveraging Oracle Cloud Infrastructure (OCI) Data Science to create a model and need some additional Python libraries for processing genome sequencing data. Which of the following THREE statements are correct with respect to installing additional Python libraries to process the data?

  A. You can only install libraries using yum and pip as a normal user
  B. You can install private or custom libraries from your own internal repositories
  C. OCI Data Science allows root privileges in notebook sessions
  D. You can install any open-source package available on a publicly accessible Python Package Index (PyPI) repository
  E. You cannot install a library that's not preinstalled in the provided image
  B. You can install private or custom libraries from your own internal repositories
  D. You can install any open-source package available on a publicly accessible Python Package Index (PyPI) repository
  E. You cannot install a library that's not preinstalled in the provided image

• Question 125:

  Which OCI service provides a scalable environment for developers and data scientists to run Apache Spark applications at scale?

  A. Data Science
  B. Anomaly Detection
  C. Data Labeling
  D. Data Flow
  D. Data Flow

• Question 126:

  You are using Oracle Cloud Infrastructure (OCI) Anomaly Detection to train a model to detect anomalies in pump sensor data. How does the required False Alarm Probability setting affect an anomaly detection model?

  A. It is used to disable the reporting of false alarms
  B. It changes the sensitivity of the model to detecting anomalies
  C. It determines how many false alarms occur before an error message is generated
  D. It adds a score to each signal indicating the probability that it's a false alarm
  B. It changes the sensitivity of the model to detecting anomalies

• Question 127:

  You have trained a binary classifier for a loan application and saved this model into the model catalog. A colleague wants to examine the model, and you need to share the model with your colleague. From the model catalog, which model artifacts can be shared?

  A. Metadata, hyperparameters, metrics only
  B. Model metadata and hyperparameters only
  C. Models and metrics only
  D. Models, model metadata, hyperparameters, metrics
  D. Models, model metadata, hyperparameters, metrics

• Question 128:

  What is a common maxim about data scientists?

  A. They spend 80% of their time finding and preparing data and 20% analyzing it.
  B. They spend 80% of their time analyzing data and 20% finding and preparing it.
  C. They spend 80% of their time on failed analytics projects and 20% doing useful work.
  A. They spend 80% of their time finding and preparing data and 20% analyzing it.

• Question 129:

  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 as command-line arguments, and create a new job every time you run the code
  C. Create a new job by setting the required parameters in your code, and create a new job for every code change
  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
  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

• Question 130:

  How can you collaborate with team members in OCI Data Science Workspace?

  A. By granting access to specific notebooks and files
  B. By using version control systems integrated with the workspace
  C. By sharing the workspace instance with other users
  D. By enabling chat and video conferencing within the workspace
  B. By using version control systems integrated with the workspace