Pass the Oracle MySQL Database Administration 1z0-915-1 Questions and answers with ExamsMirror

To speed up the data load into a DB system usingMySQL Shell util.loadDump(), you can use thedeferTableIndexes: alloption (Answer D). This option defers the creation of indexes until after the data has been loaded, which can significantly improve the speed of the loading process.

Steps:

Export your data using MySQL Shell dump utility.

Useutil.loadDump()to import the data and specify thedeferTableIndexes: alloption.

The data is loaded without building indexes initially, reducing the time required for the import.

After the data load is complete, indexes are created in a batch process, which is more efficient than creating them during the data load.

References:

MySQL Shell Dump & Load Documentation

For a read replica on a DB system,it must have at least 64 GB of memory(Answer D). This requirement ensures that the read replica has sufficient resources to handle read operations and maintain performance consistency with the primary DB system.

References:

OCI MySQL Read Replicas Documentation

When performing a node estimate while adding a HeatWave cluster to a DB system in OCI Console, the process undertakes the following tasks:

Estimate the number of OCPUs required to process selected user tables(Answer B): The node estimation process calculates the necessary OCPUs based on the size and complexity of the tables selected by the user. This ensures that the cluster has adequate processing power for efficient performance.

Estimate the memory required for each user table(Answer C): This task involves determining the memory requirements for each table that will be loaded into the HeatWave cluster. This ensures that there is sufficient memory to handle the data and execute queries efficiently.

References:

OCI Console Documentation on HeatWave

MySQL HeatWave User Guide

The statementsCALL sys.ML_TRAIN(‘ml_data.iris’, ‘class’, NULL, @model);andSELECT @model;are used to create and retrieve a machine learning model in MySQL HeatWave AutoML. The following are true:

The generated model handle is shown in the output(Answer B): After training the model, the handle (identifier) for the model is stored in the@modelvariable and can be retrieved with theSELECT @model;statement.

The statements create a classification model(Answer C): TheML_TRAINprocedure is used to create a classification model since the target column (class) indicates a classification problem.

The target column is class(Answer E): The second argument in theML_TRAINcall specifies the target column for the machine learning model, which isclassin this case.

References:

MySQL HeatWave AutoML Documentation

ML_TRAIN Procedure Documentation

B.ENGINE=csv SECONDARY_ENGINE=lakehouse ENGINE_ATTRIBUTE=’{"file": [{"region": "us-ashburn-1", "namespace": "mytenant", "bucket": "bucket01", "name": "airport.csv"}] }’: This table option defines a Lakehouse external table based on a CSV file. It specifies thecsvengine for the table and uses thelakehouseas the secondary engine, along with the file's location details in OCI Object Storage.

To train a model that predicts sales, the appropriate machine learning task would be regression, as it involves predicting a continuous value (sales) based on the given data. The command to train such a model is:

D.CALL sys.ML_TRAIN('ml_data.sales', 'Sales', JSON_OBJECT('task', 'regression'), @model);

This command calls theML_TRAINprocedure on theml_data.salestable, withSalesas the target variable, specifying the task as regression.

The following are features of MySQL AutoPilot:

Auto encoding(Answer C): MySQL AutoPilot automatically determines the best encoding for data to optimize storage and performance.

Auto provisioning(Answer D): MySQL AutoPilot can automatically provision additional resources based on workload demands, ensuring optimal performance.

AutoML(Answer E): MySQL AutoPilot includes AutoML capabilities, which automate the process of machine learning model selection, training, and deployment.

References:

MySQL HeatWave AutoPilot Documentation

MySQL AutoPilot Features

The MySQL usermysql.sysis a reserved username used by the system for internal purposes. It cannot be used as a customer-defined user account to prevent conflicts with the system operations and maintain the integrity of the database's internal workings.

When creating a Bastion service to connect to a MySQL DB system, the following are true:

The Bastion CIDR block allowlist must include the IP address of all valid client machines(Answer C): This ensures that only the IP addresses specified in the allowlist can access the Bastion service, enhancing security by restricting access to known clients.

The Bastion subnet must have an ingress rule to allow stateful connections on the MySQL DB system port number(Answer E): This allows the Bastion service to communicate with the MySQL DB system by permitting traffic through the necessary ports.

References:

OCI Bastion Service Documentation

Setting Up Bastion with MySQL DB System

To deploy a high-availability MySQL DB system in a region with multiple availability domains, the following types of subnets provide maximum redundancy:

A private regional subnet(Answer B): This type of subnet spans all availability domains in the region, ensuring high availability and fault tolerance.

A public regional subnet(Answer C): Similar to the private regional subnet, a public regional subnet spans all availability domains, providing maximum redundancy and accessibility.

References:

OCI Networking Documentation

MySQL High Availability Documentation