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NEW QUESTION # 13
What are the TWO benefits of Observability Lakehouse in Operations Insights? (Choose two.)
- A. Allows Oracle Enterprise Manager's operations data for various use-cases
- B. Provides data based on a statistical analysis of AI data
- C. Enables custom analytics such as trending, forecasting, capacity planning, workload characterizations
- D. Identifies future resource usage Oracle Cloud
Answer: A,C
Explanation:
Explanation
Two benefits of Observability Lakehouse in Operations Insights are:
Allows Oracle Enterprise Manager's operations data for various use-cases. Observability Lakehouse is a data lake that stores and analyzes operational data from different sources, such as Oracle Enterprise Manager, Oracle Cloud Infrastructure, and Autonomous Database. You can use Observability Lakehouse to access and query your operations data for various use-cases, such as performance analysis, capacity planning, anomaly detection, and root cause analysis.
* Enables custom analytics such as trending, forecasting, capacity planning, workload characterizations.
Observability Lakehouse provides a rich set of analytical functions and tools that let you perform custom analytics on your operations data. You can use Observability Lakehouse to create trends, forecasts, capacity plans, workload profiles, and other insights that can help you optimize your operations and performance.
NEW QUESTION # 14
Which of the following TWO are stored in a Log Source of Logging Analytics? (Choose two.)
- A. Which Management Agents to use
- B. Which Parsers to use
- C. Where to find Logs
- D. Where to store Log data
Answer: B,C
Explanation:
Explanation
Two things that are stored in a Log Source of Logging Analytics are:
* Which parsers to use. A parser is a component that extracts fields and values from log data. A log source can have one or more parsers associated with it to enable Logging Analytics to parse and analyze the log
* data.
* Where to find logs. A log source defines the location, format, and frequency of the log data. A log source can specify a file path, a database connection string, or a Windows event log name to indicate where to find logs.
NEW QUESTION # 15
What is enabled by the SQL Warehouse application within Operations Insights?
- A. Insights into the SQL performance
- B. Consolidated Databases
- C. Trend and Forecast resource requirements.
- D. Reduced Operations costs
Answer: A
Explanation:
Explanation
The SQL Warehouse application within Operations Insights enables insights into the SQL performance. SQL Warehouse is a feature of Operations Insights that provides a centralized repository of SQL performance data from your databases. You can use SQL Warehouse to analyze, compare, and optimize the SQL performance across your database fleet. You can also use SQL Warehouse to identify and troubleshoot SQL performance issues, such as high resource consumption, long execution time, or plan changes.
NEW QUESTION # 16
Which TWO are use cases of Oracle Cloud Infrastructure (OCI) Events Service? (Choose two.)
- A. Migrate Events generated by OCI resources from a Source to Target services
- B. Perform cleanup tasks when an OCI resource is terminated
- C. Process files when they are uploaded in an Object Storage bucket
- D. Perform configuration management for deploying, configuring, and managing servers
Answer: B,C
Explanation:
Explanation
Two use cases of OCI Events Service are:
* Perform cleanup tasks when an OCI resource is terminated. For example, you can create an event rule that triggers a function when an instance is terminated (com.oraclecloud.computeapi.terminateinstance.end). The function can perform some cleanup tasks, such as deleting associated resources or sending notifications.
* Process files when they are uploaded in an Object Storage bucket. For example, you can create an event rule that triggers a function when an object is created in a bucket
* (com.oraclecloud.objectstorage.createobject). The function can process the file, such as resizing an image or converting a document format. For more information, see Events Overview.
NEW QUESTION # 17
When would you use a vantage point in Application Performance Monitoring (APM)?
- A. Application Insights
- B. Java Management
- C. Synthetic Monitoring
- D. Distributed Tracing
Answer: C
Explanation:
Explanation
You would use a vantage point in Synthetic Monitoring. Synthetic Monitoring is a feature of APM that allows you to create synthetic tests to monitor the availability and performance of your web applications or APIs from different locations around the world. A vantage point is a location from where you can run synthetic tests against your target applications or APIs. A vantage point can be public or dedicated depending on your needs.
NEW QUESTION # 18
Which two features are provided by Application Performance Monitoring? (Choose two.)
- A. Java Management
- B. Real User Monitoring
- C. Distributed Tracing
- D. Capacity Planning
Answer: B,C
Explanation:
Explanation
Application Performance Monitoring provides two features: Distributed Tracing and Real User Monitoring.
Distributed Tracing allows you to monitor and troubleshoot the performance of your microservices applications by tracing the requests across different services and components. Real User Monitoring allows you to measure and improve the user experience of your web applications by capturing and analyzing the real user sessions, page load times, errors, and feedback.
NEW QUESTION # 19
Which is one of the primary use case for the circleCloud Infrastructure (OCI) Observabilityand Management (O&M) Logging Analytics service?
- A. Centralize and relocate any log based on a subscription model
- B. Monitor, aggregate, index, and analyze log data
- C. Create OCI resources automatically based on log events and reports
Answer: B
Explanation:
Explanation
One of the primary use cases for the OCI Observability and Management (O&M) Logging Analytics service is to monitor, aggregate, index, and analyze log data. Logging Analytics is a feature of O&M that provides a unified platform for managing and analyzing log data from various sources, such as OCI services, on-premises systems, or custom applications. Logging Analytics can help you reduce noise, identify patterns, detect anomalies, and troubleshoot issues from your log data.
NEW QUESTION # 20
Which is an example of Log Sources in Logging Analytics?
- A. Windows Events, Syslog Listener, and Database SQL parsers
- B. Long, Integer, String fields
- C. File, Database, Windows Events System, Syslogs
- D. JSON, XML, CSV files
Answer: A
Explanation:
Explanation
Log Sources in Logging Analytics are predefined parsers that can extract fields from various types of log data, such as Windows Events, Syslog Listener, and Database SQL parsers. Log Sources also provide predefined labels, extended fields, and log origin information for each log type.
NEW QUESTION # 21
Which is NOT a valid statement regarding the Oracle Cloud Infrastructure (OCI) Audit logs?
- A. Audit logs can be displayed at the Compartment level.
- B. Audit Logs are disabled by default and must be manually enabled for each compartment in your tenancy.
- C. One of the key reasons to view Audit Logs is to collect security related events.
Answer: B
Explanation:
Explanation
A valid statement regarding the OCI Audit logs is that Audit Logs are enabled by default and do not need to be manually enabled for each compartment in your tenancy. Audit Logs are records of the API operations performed on your OCI resources. Audit Logs provide security, compliance, and governance information about your OCI resources. You can view Audit Logs at the compartment level or at the tenancy level.
NEW QUESTION # 22
Which of the following capabilities does the performance management feature of Database Management Services offer to a managed database?
- A. Dynamically modifies database initialization parameters to improve performance
- B. Automatically invokes full stats gathering of objects to improve performance of regressed SQLS
- C. Visualizes and performs trend analysis from AWR data to detect issues using AWR explorer
Answer: C
Explanation:
Explanation
The performance management feature of Database Management Services offers the capability to visualize and perform trend analysis from AWR data to detect issues using AWR explorer. AWR explorer is a tool that lets you view and analyze the Automatic Workload Repository (AWR) data from your databases. You can use AWR explorer to compare performance across different time periods, identify performance bottlenecks, and troubleshoot issues.
NEW QUESTION # 23
Which of the following is not a key interaction element in Log Explorer UI of Logging Analytics?
- A. Dashboard
- B. Scope Filter
- C. Fields Panel
- D. Time Picker
Answer: A
Explanation:
Explanation
Dashboard is not a key interaction element in Log Explorer UI of Logging Analytics. The Log Explorer UI consists of four key interaction elements: Time Picker, Fields Panel, Scope Filter, and Results Panel. These elements allow you to search, filter, analyze, and visualize your log data.
NEW QUESTION # 24
You are part of an organization with thousands of users accessing Oracle Cloud Infra-structure (OCI). An unknown user action was executed resulting in configuration errors. You are tasked to quickly identify the details of all users who were active in the last six hours along with any REST API calls that were executed.
Which OCI service would you use?
- A. Management Agent
- B. Audit
- C. Service Connectors
- D. Logging
- E. Notifications
Answer: B
Explanation:
Explanation
To identify the details of all users who were active in the last six hours along with any REST API calls that were executed, you can use OCI Audit service. Audit service is a service that records all the API operations performed on your OCI resources. Audit service provides security, compliance, and governance information about your OCI resources. You can use Audit service to view and search audit events based on various criteria, such as user name, resource type, or time range.
NEW QUESTION # 25
What are the two capabilities available in Operations Insights? (Choose two.)
- A. Entity Topology Viewing
- B. Capacity Planning
- C. Database Fleet Monitoring
- D. Exadata Insights
Answer: B,D
Explanation:
* Exadata Insights. Exadata Insights is a feature of Operations Insights that provides comprehensive monitoring and analysis of your Exadata systems, both on-premises and in the cloud. You can use Exadata Insights to view performance, utilization, availability, and configuration metrics of your Exadata systems and components. You can also use Exadata Insights to troubleshoot issues, optimize performance, and plan capacity for your Exadata systems.
* Capacity Planning. Capacity Planning is a feature of Operations Insights that helps you forecast the future resource consumption and capacity needs of your databases. You can use Capacity Planning to create scenarios based on historical trends, growth rates, and what-if analysis. You can also use Capacity Planning to compare different scenarios and identify potential risks and opportunities for your database capacity.
NEW QUESTION # 26
Which TWO components are optional while crihating the Monitoring Query Language (MQL) expressions in the Oracle Cloud Infrastructure (OCI) Monitoring service? (Choose two.)
- A. Previous
- B. Dimensions
- C. Metric
- D. Grouping Function
- E. Interval
- F. Statistic
Answer: D,F
Explanation:
Explanation
Two components that are optional while creating MQL expressions in OCI Monitoring service are Grouping Function and Statistic. MQL expressions are queries that specify how to retrieve and process metric data from OCI Monitoring service. MQL expressions consist of various components, such as metric name, dimensions, filters, functions, operators, or constants. Some components are mandatory while others are optional depending on your use case. Grouping Function is an optional component that specifies how to aggregate metric data across different metric streams based on certain attributes or tags. Statistic is an optional component that specifies how to summarize metric data within each time window based on certain calculations or methods.
NEW QUESTION # 27
Which TWO actions can be performed using the Database Management Service in Oracle Cloud Infrastructure (OCI)? (Choose two.)
- A. Forecast Capacity issues of your Database services in OCI
- B. Analyze and Tune SQL performance issues of Oracle Databases on-premises, OCI and Multi- Cloud environment
- C. Forecast Capacity issue of Oracle Databases in On-Premises, OCI and Multi-Cloud environment
- D. Compare Database performance across different time periods or perform real-time monitoring of SQL statements
Answer: B,D
Explanation:
Explanation
Two actions that can be performed using the Database Management Service in OCI are:
* Compare Database performance across different time periods or perform real-time monitoring of SQL statements. Database Management Service provides various tools and dashboards that let you compare and monitor the performance of your databases and SQL statements. You can use Performance Hub to view real-time and historical performance data of your databases. You can also use SQL Monitor to view real-time and historical execution details of your SQL statements.
* Analyze and Tune SQL performance issues of Oracle Databases on-premises, OCI and Multi-Cloud environment. Database Management Service provides various features and functions that let you analyze and tune SQL performance issues of your databases across different environments. You can use SQL Tuning Advisor to get recommendations for improving SQL performance. You can also use SQL Performance Analyzer to compare the performance of SQL statements before and after a change.
NEW QUESTION # 28
You are part of a team that manages a set of workload instances running in an on-premises environment. The Architect team is tasked with designing and configuring Oracle Cloud Infrastructure (OCI) Logging service to collect logs fromthese instances. There is a requirement to archive Info-level logging data of these instances into the OCI Object Storage. Which TWO features of OCI can help you achieve this? (Choose two.)
- A. Cloud Agent Plugin Grouping Function
- B. Service Connectors
- C. Agent Configuration
- D. ObjectCollection Rule
Answer: B,D
Explanation:
Explanation
Two features of OCI that can help you archive Info-level logging data of these instances into the OCI Object Storage are:
* Service Connectors. Service Connectors are components of Service Connector Hub that enable data movement between OCI services. You can create a service connector that has Logging as the source service and Object Storage as thetarget service. You can also specify filters to select only the Info-level logs from your instances.
* ObjectCollection Rule. ObjectCollection Rule is a feature of Logging Analytics that allows you to collect log data from objects stored in Object Storage buckets. You can create an ObjectCollection Rule that specifies the bucket name, object name pattern, entity type, and log source for your log data. For more information, see [Service Connector Hub Overview] and [ObjectCollection Rule].
NEW QUESTION # 29
Which TWO items describe the capabilities of the Oracle Cloud Infrastructure (OCI) Database Management Service? (Choose two.)
- A. Perform management tasks across a group of databases
- B. View database log entries
- C. Monitor database performance
- D. Analyze SQL response time across a group of databases
Answer: A,C
Explanation:
Explanation
Two items that describe the capabilities of the OCI Database Management Service are:
* Perform management tasks across a group of databases. Database Management Service provides a feature called Database Fleet Management that allows you to perform management tasks across a group of databases in yourtenancy. You can use Database Fleet Management to view and compare the configuration, performance, and security of your databases. You can also use Database Fleet Management to execute SQL commands or scripts on multiple databases at once.
* Monitor database performance. Database Management Service also provides various tools and dashboards that let you monitor the performance of your databases and SQL statements. You can use Performance Hub to view real-time and historical performance data of your databases. You can also use SQL Monitor to view real-time and historical execution details of your SQL statements.
NEW QUESTION # 30
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