AWS-Solutions-Associate Practice Questions

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NEW QUESTION: 1
DRAG DROP


Answer:
Explanation:

NEW QUESTION: 2
Which of the following phases is involved in the Data Extraction, Validation, Aggregation and Analysis?
A. Risk identification, Risk assessment, Risk response and Risk monitoring
B. Data access and Data validation
C. Risk response and Risk monitoring
D. Requirements gathering, Data access, Data validation, Data analysis, and Reporting and corrective action
Answer: D
Explanation:
Explanation/Reference:
Explanation:
The basic concepts related to data extraction, validation, aggregation and analysis is important as KRIs often rely on digital information from diverse sources. The phases which are involved in this are:
Requirements gathering: Detailed plan and project's scope is required for monitoring risks. In the case

of a monitoring project, this step should involve process owners, data owners, system custodians and other process stakeholders.
Data access: In the data access process, management identifies which data are available and how

they can be acquired in a format that can be used for analysis. There are two options for data extraction:
- Extracting data directly from the source systems after system owner approval
- Receiving data extracts from the system custodian (IT) after system owner approval Direct extraction is preferred, especially since this involves management monitoring its own controls, instead of auditors/third parties monitoring management's controls. If it is not feasible to get direct access, a data access request form should be submitted to the data owners that detail the appropriate data fields to be extracted. The request should specify the method of delivery for the file.
Data validation: Data validation ensures that extracted data are ready for analysis. One of its important

objective is to perform tests examining the data quality to ensure data are valid complete and free of errors. This may also involve making data from different sources suitable for comparative analysis.
Following concepts should be considered while validating data:
- Ensure the validity, i.e., data match definitions in the table layout
- Ensure that the data are complete
- Ensure that extracted data contain only the data requested
- Identify missing data, such as gaps in sequence or blank records
- Identify and confirm the validity of duplicates
- Identify the derived values
- Check if the data given is reasonable or not
- Identify the relationship between table fields
- Record, in a transaction or detail table, that the record has no match in a master table Data analysis: Analysis of data involves simple set of steps or complex combination of commands and

other functionality. Data analysis is designed in such a way to achieve the stated objectives from the project plan. Although this may be applicable to any monitoring activity, it would be beneficial to consider transferability and scalability. This may include robust documentation, use of software development standards and naming conventions.
Reporting and corrective action: According to the requirements of the monitoring objectives and the

technology being used, reporting structure and distribution are decided. Reporting procedures indicate to whom outputs from the automated monitoring process are distributed so that they are directed to the right people, in the right format, etc. Similar to the data analysis stage, reporting may also identify areas in which changes to the sensitivity of the reporting parameters or the timing and frequency of the monitoring activity may be required.
Incorrect Answers:
D: These are the phases that are involved in risk management.

NEW QUESTION: 3
A system administrator completed a WebSphere Application Server installation by using the Installation Manager. During installation, all defaults were selected for the installation root directories and the shared resources directory. Over time, the administrator has updated the installation with various interim fixes and fix packs. The administrator notices that the shared resources directory is very large in size and grows larger each time the Installation Manager is run.
How can the administrator decrease the size and remove some of the content from the shared resources directory?
A. Manually delete content from the directory.
B. During an update, create a new shared resources directory.
C. Set the preserveDownloadedArtifacts preference to false.
D. Clear the Delete Saved Files option for the Installation Manager.
Answer: C
Explanation:
Reference:http://www01.ibm.com/support/knowledgecenter/SSAW57_7.0.0/com.ibm.websphere.installation.soaf epnd.doc/info/ae/ae/tins_installfp_dist.html?lang=en(Shared resources directory)

NEW QUESTION: 4
You are profiling a frequently used database table named UserEvents. The READ_COMMITED_SNAPSHOT database option is set to OFF.
In the trace results, you observe that lock escalation occurred for one stored procedure even though the number of locks in the database did not exceed memory or configuration thresholds. Events details are provided in the following table:

You need to modify the uspDeleteEvents stored procedure to avoid lock escalation.
How should you modify the stored procedure? To answer, select the appropriate Transact-SQL segments in the answer area.

Answer:
Explanation:

Explanation

Delete up to 4000 rows at a time. Keep doing it until all rows have been deleted.
Note that @@ROWCOUNT returns the number of rows affected by the last statement.
References: https://msdn.microsoft.com/en-us/library/ms187316.aspx