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NEW QUESTION: 1
Which of the following statements about portfolio theory is false:
A. If a security plots above the SML it is undervalued.
B. Total risk equals systematic risk plus unsystematic risk.
C. If a security plots above the theoretical CML it is undervalued.
D. The risk measure associated with the CML is standard deviation (total risk).
Answer: C
Explanation:
Explanation/Reference:
Explanation:
No security can plot above the theoretical CML. All risky securities must be contained within or lie upon the efficient frontier and the CML is tangent to the efficient frontier.
NEW QUESTION: 2


A. 2, 4, 5
B. 1, 2, 3, 4, 5
C. 1, 2, 4, 5
D. 2, 1, 4, 3, 5
Answer: D
Explanation:
Explanation
* Evolving SQL Plan Baselines
2. Create the evolve task by using the DBMS_SPM.CREATE_EVOLVE_TASK function.
This function creates an advisor task to prepare the plan evolution of one or more plans for a specified SQL statement. The input parameters can be a SQL handle, plan name or a list of plan names, time limit, task name, and description.
1. Set the evolve task parameters.
SET_EVOLVE_TASK_PARAMETER
This function updates the value of an evolve task parameter. In this release, the only valid parameter is TIME_LIMIT.
4. Execute the evolve task by using the DBMS_SPM.EXECUTE_EVOLVE_TASK function.
This function executes an evolution task. The input parameters can be the task name, execution name, and execution description. If not specified, the advisor generates the name, which is returned by the function.
3: IMPLEMENT_EVOLVE_TASK
This function implements all recommendations for an evolve task. Essentially, this function is equivalent to using ACCEPT_SQL_PLAN_BASELINE for all recommended plans. Input parameters include task name, plan name, owner name, and execution name.
5. Report the task outcome by using the DBMS_SPM_EVOLVE_TASK function.
This function displays the results of an evolve task as a CLOB. Input parameters include the task name and section of the report to include.
NEW QUESTION: 3
For this question, refer to the Mountkirk Games case study.
Mountkirk Games wants to set up a continuous delivery pipeline. Their architecture includes many small services that they want to be able to update and roll back quickly. Mountkirk Games has the following requirements:
* Services are deployed redundantly across multiple regions in the US and Europe.
* Only frontend services are exposed on the public internet.
* They can provide a single frontend IP for their fleet of services.
* Deployment artifacts are immutable.
Which set of products should they use?
A. Google Container Registry, Google Container Engine, Google HTTP(s) Load Balancer
B. Google Cloud Storage, Google App Engine, Google Network Load Balancer
C. Google Cloud Storage, Google Cloud Dataflow, Google Compute Engine
D. Google Cloud Functions, Google Cloud Pub/Sub, Google Cloud Deployment Manager
Answer: A
Explanation:
https://cloud.google.com/load-balancing/
https://cloud.google.com/solutions/ansible-with-spinnaker-tutorial
http://blog.armory.io/what-is-immutable-infrastructure/
https://cloud.google.com/compute/docs/load-balancing/http/
NEW QUESTION: 4
What is happening in the Google AdWords screen shown below?
Choose one of the following:
A. Traffic Research
B. Campaign Estimation
C. Keyword Estimation
D. Link Analysis
Answer: C