
100% Pass Guaranteed Free 1z0-1111-23 Exam Dumps Mar 26, 2024
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Oracle 1z0-1111-23 Exam Syllabus Topics:
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NEW QUESTION # 15
Which is NOT a valid statement regarding the Oracle Cloud Infrastructure (OCI) Audit logs?
- A. One of the key reasons to view Audit Logs is to collect security related events.
- B. Audit logs can be displayed at the Compartment level.
- C. Audit Logs are disabled by default and must be manually enabled for each compartment in your tenancy.
Answer: C
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 # 16
What determines the parsing options for a given source of log data in Logging Analytics?
- A. Entity
- B. Source-Entity Association
- C. Entity Type
- D. Entity Group
Answer: C
Explanation:
Explanation
The parsing options for a given source of log data in Logging Analytics are determined by the entity type. An entity type is a predefined template that defines the attributes, log sources, and parsers for a specific type of log data, such as Apache Web Server, Oracle Database, or Linux Host. By associating an entity type with a log source, you can enable Logging Analytics to parse and extract fields from the log data. For more information, see Entity Types.
NEW QUESTION # 17
What is the purpose of using Resolution in a Monitoring Query Language expression?
- A. Resolution defines the start time of each time window
- B. Resolution is used with suppression to pause alarm during system maintenance
- C. Resolution controls the total length of each time window
- D. Resolution automatically resolves the alarm which is Firing state
Answer: C
Explanation:
Explanation
The purpose of using Resolution in a Monitoring Query Language expression is to control the total length of each time window. Resolution is a parameter that specifies how often the query is evaluated and how the metric data is aggregated. For example, a resolution of 1m means that the query is evaluated every minute and the metric data is aggregated into one-minute intervals. Resolution affects the granularity and accuracy of the query results and the alarm condition.
NEW QUESTION # 18
Which of the following details stored in the External Database service's database connec-tion resource are required to connect to an external database?
- A. DNS hostname, database name, connection type and management agent OCID, user credentials, and role
- B. Port, service name, connection type and management agent OCID, user credentials, and role
- C. Port, database name, connection type and management agent OCID, user credentials, and role
- D. DNS hostname, port, service name, network protocol, connection type and management agent OCID, user credentials, and role
Answer: A
Explanation:
Explanation
The details stored in the External Database service's database connection resource that are required to connect to an external database are DNS hostname, database name, connection type and management agent OCID, user credentials, and role. These details specify the information needed to establish a secure connection to the external database using amanagement agent. The DNS hostname is the fully qualified domain name of the host where the external database is running. The database name is the unique name of the external database. The connection type is the protocol used to connect to the external database, such as JDBC or OCI. The management agent OCID is the unique identifier of the management agent that is installed on the host where the external database is running. The user credentials are the username and password of the user who has access to the external database. The role is the privilege level of the user, such as normal or sysdba.
NEW QUESTION # 19
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. Identifies future resource usage Oracle Cloud
- D. Enables custom analytics such as trending, forecasting, capacity planning, workload characterizations
Answer: A,D
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 # 20
Which is a valid Log Category name in Oracle Cloud Infrastructure (OCI) Logging Service?
- A. Custom Logs
- B. VCN Logs
- C. System Logs
- D. OCI Agent Logs
Answer: A
Explanation:
Explanation
A valid Log Category name in OCI Logging Service is Custom Logs. Custom Logs are logs that are generated by your own applications or services that are not part of OCI services. Custom Logs can be collected by Logging Service using various methods, such as Unified Monitoring Agent, SDKs, or APIs. Custom Logs can help you monitor and troubleshoot your custom applications or services.
NEW QUESTION # 21
In Application Performance Monitoring (APM), where isthe span context information located during transfer?
- A. in the browser and the microservices
- B. in HTTP header
- C. in the service boundaries
- D. in HTTP call
Answer: B
Explanation:
Explanation
In Application Performance Monitoring (APM), the span context information is located in the HTTP header during transfer. Span context is a set of information that identifies a span within a trace, such as Trace ID and Span ID. Span context is propagated across different services and components using HTTP headers. This allows APM to track and correlate the spans for a single user request or transaction.
NEW QUESTION # 22
Which Machine Learning based visualization is helpful in analyzing extremely large vol-umes of log records by grouping them based on their shape?
- A. Summary Table
- B. Cluster
- C. Word Cloud
Answer: B
Explanation:
Explanation
The Machine Learning based visualization that is helpful in analyzing extremely large volumes of log records by grouping them based on their shape is Cluster. Cluster is a feature of Logging Analytics that uses machine learning algorithms to group log records into clusters based on their similarity or dissimilarity. Cluster can help you reduce noise, identify patterns, detect anomalies, and troubleshoot issues from your log data.
NEW QUESTION # 23
Which Machine Learning based visualization is helpful in analyzing extremely large vol-umes of log records by grouping them based on their shape?
- A. Summary Table
- B. Cluster
- C. Word Cloud
Answer: B
Explanation:
Explanation
The Machine Learning based visualization that is helpful in analyzing extremely large volumes of log records by grouping them based on their shape is Cluster. Cluster is a feature of Logging Analytics that uses machine learning algorithms to group log records into clusters based on their similarity or dissimilarity. Cluster can help you reduce noise, identify patterns, detect anomalies, and troubleshoot issues from your log data.
NEW QUESTION # 24
Which statement is valid for auto-upgrade of Management Agent?
- A. Auto-upgrade is always enabled by default (no action is needed)
- B. Auto-upgrade option is not available for Management Agent
- C. Auto-upgrade is an opt-in/opt-out feature at the tenancy level
- D. Users cannot disable "auto-upgrade"
Answer: D
Explanation:
Explanation
A valid statement for auto-upgrade of Management Agent is that users cannot disable "auto-upgrade".
Auto-upgrade is a feature that automatically updates the Management Agent software to the latest version when it is available. Auto-upgrade is always enabled by default and cannot be disabled by users. Auto-upgrade ensures that the Management Agent software is always up to date and secure.
NEW QUESTION # 25
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. Compare Database performance across different time periods or perform real-time monitoring of SQL statements
- D. Forecast Capacity issue of Oracle Databases in On-Premises, OCI and Multi-Cloud environment
Answer: B,C
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 # 26
Which are the different data sources from where the Application Performance Monitoring (APM) Java agent can collect spans and metrics data?
- A. NginX
- B. VMware ESXi
- C. WebLogic, Tomcat, or JBoss
- D. Jaeger or Zipkin
Answer: D
Explanation:
Explanation
The data sources from where the APM Java agent can collect spans and metrics data are Jaeger or Zipkin.
Jaeger and Zipkin are open source distributed tracing systems that provide end-to-end visibility into complex transactions across multiple services and components. The APM Java agent can collect spans and metrics data from Jaeger or Zipkin compatible applications and send them to APM for analysis and visualization.
NEW QUESTION # 27
You have been asked to run queries against the OracleCloud Infrastructure (OCI) monitoring data. The data request is an aggregated query. You get the following error: query has exceeded the maximum number of metric streams Which step would you take to run the aggregated query correctly against OCI?
- A. Reduce the query and limit the number of streams by specifying dimensions.
- B. Ignore the error because aggregating multiple metric streams is not supported.
- C. Check the OCI Identity and Access Management (IAM) policy and re-run the query.
- D. Increase the query limits and the number of streams by specifying dimensions.
Answer: A
Explanation:
Explanation
To run the aggregated query correctly against OCI, you need to reduce the query and limit the number of streams by specifying dimensions. Dimensions are key-value pairs that define the characteristics of a metric.
By adding dimensions to your query, you can filter out the irrelevant metric streams and avoid exceeding the maximum number of metric streams. For more information, see Querying Metrics.
NEW QUESTION # 28
You are working on a project to automate the deployment of Oracle Cloud Infrastructure (OCI) compute instances that are pre-configured with web services. As part of the deployment workflow, you also need to create a corresponding OCI object storage bucket bearing the same name as that of the compute instance.
Which of these TWO options can help you achieve this requirement? (Choose two.)
- A. Cloud Agent Plugin for the compute instance
- B. Oracle Functions
- C. OCI CLI command, ocios bucket create auto
- D. Events Service
- E. Service Connector Hub
Answer: B,E
Explanation:
Explanation
To create a corresponding OCI object storage bucket bearing the same name as that of the compute instance, you can use Oracle Functions and Service Connector Hub. Oracle Functions is a serverless platform that lets you create and run functions that respond to events. Service Connector Hub is a cloud message bus platform that lets you move data between OCI services. You can create a service connector that has Events as the source service and Functions as the target service. You can also specify a filter to select only the events related to compute instance creation (com.oraclecloud.computeapi.launchinstance.end). The function can then create an object storage bucket with the same name as the compute instance.
NEW QUESTION # 29
Which of the following feature of Logging Analytics is used for identifying and tagging the problem logs during ingestion time?
- A. Log Origin
- B. Extended Fields
- C. Labels
- D. Entity Type
Answer: C
Explanation:
Explanation
Labels are a feature of Logging Analytics that allow you to identify and tag the problem logs during ingestion time. Labels are predefined tags that can be applied to log records based on certain conditions or patterns. For example, you can create a label called "Error" that is applied to any log record that contains the word "error" or "exception". Labels can help you filter, search, and analyze your log data more efficiently.
NEW QUESTION # 30
Which TWO are examples of data telemetry sources of Operations Insights? (Choose two.)
- A. Management Agent
- B. DOCI streams
- C. OCI Functions
- D. Enterprise Manager
Answer: A,D
Explanation:
Explanation
Two examples of data telemetry sources of Operations Insights are:
* Enterprise Manager. Enterprise Manager is an on-premises tool that provides comprehensive management and monitoring of Oracle databases and applications. Enterprise Manager can send operational data, such as performance metrics, configuration data, and SQL data, to Operations Insights for analysis and optimization.
* Management Agent. Management Agent is a lightweight process that collects and sends operational data from your resources to OCI services, such as Monitoring, Logging, or Operations Insights. Management Agent can collect data from various sources, such as databases, hosts, or applications.
NEW QUESTION # 31
What two APM agents can Application Performance Monitoring use to collect data? (Choose two.)
- A. Browser Agent
- B. Java Agent
- C. Cloud Agent
- D. Management Agent
Answer: A,B
Explanation:
Explanation
Two APM agents that Application Performance Monitoring can use to collect data are Browser Agent and Java Agent. Browser Agent is a JavaScript snippet that can be embedded in web pages to collect Real User Monitoring (RUM) data, such as page load time, network latency, or user interactions. Java Agent is a Java library that can be attached to Java applications to collect Application Performance Monitoring (APM) data, such as traces, spans, metrics, or errors.
NEW QUESTION # 32
What are the two capabilities available in Operations Insights? (Choose two.)
- A. Capacity Planning
- B. Database Fleet Monitoring
- C. Entity Topology Viewing
- D. Exadata Insights
Answer: A,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 # 33
What are the TWO features that are available for an Autonomous Database that is enabled with Database Management? (Choose two.)
- A. View average active session by CPU, I/O and wait depending on the deployment type
- B. Monitor and analyze optimizer statistics advisor tasks and implement recommendations
- C. Number of queued and running SQL statements
- D. Generate AWR report for selected time period
Answer: B,D
Explanation:
Explanation
Two features that are available for an Autonomous Database that is enabled with Database Management are:
* Monitor and analyze optimizer statistics advisor tasks and implement recommendations. Database Management provides a feature called OptimizerStatistics Advisor that analyzes the optimizer statistics collection tasks on your Autonomous Database and provides recommendations for improving performance and efficiency. You can use Database Management to monitor and analyze the advisor tasks and implement the recommendations.
* Generate AWR report for selected time period. Database Management also provides a feature called Automatic Workload Repository (AWR) Report that generates a report of the performance statistics and workload information of your Autonomous Database for a selected time period. You can use Database Management to generate AWR reports and view them in HTML or text format.
NEW QUESTION # 34
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