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NEW QUESTION: 1
Frank Hoskins and Paul Lanning are economists for a large U.S. investment advisory firm. Platinum Advisors. Hoskins and Lanning use their independent research on U.S. stocks and international stocks to provide advice for the firm's network of advisors. As the senior economist at Platinum, Hoskins is a partner in the firm and is Lanning's supervisor. Lanning has worked for Platinum for the past four years. At a lunch meeting, the two economists discuss the usefulness of economic theory, economic data, and the resulting forecasts of the global economic and stock market activity.
Hoskins is investigating the growth prospects of the country of Maldavia. Maldavia is a formerly communist country with a population of 3 million located in Eastern Europe. The Maldavian government had been aggressive in instituting political reform and encouraging the growth of financial markets. However, due to a recent insider trading scandal and resulting stock market volatility, the Maldavian government is considering restrictions on further stock market growth and the establishment of a national securities regulator. Hoskins states that these developments are not encouraging for future economic growth.
Lanning is examining the country of Petra. Petra is a country of 25 million located in South America and rich with natural resources including oil. The recently elected president of Petra, Carlos Basile, has announced that he would like to diversify the country's economy away from natural resources while nationalizing the oil industry. Lanning states that these changes would not be beneficial for the future growth of the Petrian economy.
One of the many items they study when examining an economy or stock market is the economic information released by governments and private organizations. Hoskins and Lanning use this information to determine the effects on economic growth and the appropriate portfolio allocations to the bond and stock markets. Examining information for Maldavia, Hoskins has learned that the Maldavian private sector has embarked on an ambitious plan to increase labor productivity by purchasing more machinery for its factories. The private sector feels compelled to do this because Maldavia has historically relied too heavily on labor as the main input into production. Plotting the productivity curve for Maldavia, Hoskins states that labor productivity should increase because the productivity curve will shift upward and to the right.
Lanning is examining the historical record of economic growth in Petra. He has gathered the data in Exhibit
1 to determine potential economic growth.

Hoskins is also examining data for the country of Semeria. Semeria is an emerging country that has benefited from recent changes in the political environment as well as technological advances. Its economy is growing rapidly, and changes in the Semerian economy and society have resulted in more opportunities for women. The Semerian economy has experienced 17 consecutive quarters of positive growth in GDP, which is unprecedented in Semerian history. Interest rates have increased over time because businesses have been borrowing heavily to invest in new machinery and technologies. Most economists are forecasting further increases in interest rates in Semeria.
It has long been Platinum's policy that its economists use long-term economic growth trends to forecast future economic growth, stock returns, and dividends in a country. Lanning is examining the economy of Tiberia. Tiberia has a population of 11 million and is located in northern Africa. Its economy is diversified, and its main exports are agricultural products and heavy machinery. The country's economy has been growing at an annual rate of 6.2% for the past ten years, in part because of technological advances in the manufacture of heavy equipment. These advances involve the use of computer-operated welding machines that have made the manufacture of heavy equipment less expensive. Lanning is worried, however, that the 6.2% GDP growth rate may not be sustainable and is considering advising Platinum's portfolio managers to decrease their portfolio allocations in the country. Before doing so, he will consult with Hoskins.
The endogenous growth theory is most likely to predict that the Tiberian dividend growth rate:
A. will decline because the current GDP growth rate is not sustainable, and as it falls, so will the dividend growth rate.
B. will settle at a long-run steady state because of a diminishing marginal productivity of capital.
C. can continue to increase because technological advances will be shared by many sectors of the economy.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Under the endogenous growth theory, the Tibcrian dividend growth rate can continue to increase because technological advances will be shared by many sectors of the economy. The benefits of technological advances cannot be captured entirely by a single firm. As these benefits flow to other firms, the economy becomes more productive and the long-term economic growth rate and dividend growth rate can continue to increase. Under the endogenous growth theory, the economy does not necessarily settle at a long-run equilibrium growth rate as it docs under the neoclassical model, which posits a diminishing marginal productivity of capital. (Study Session 4, LOS 14.f)

NEW QUESTION: 2
운영 직원이 매일 백업을 수행하지 못하는 위험을 해결하려면 시스템 관리자가 일일 백업에서 로그 오프해야 합니다. 다음은 위험의 예입니다.
A. 이전.
B. 수락.
C. 완화.
D. 회피.
Answer: C
Explanation:
설명:
완화는 설명 된 위험을 해결하기 위해 통제의 정의 및 구현을 제공하는 전략입니다. 회피는 위험을 초래할 수있는 특정 활동이나 프로세스를 구현하지 않는 전략입니다. 전이는 파트너와 위험을 공유하거나 보험을 제공하는 전략입니다. 수용은 위험의 존재를 공식적으로 인정하고 그 위험을 모니터링하는 전략입니다.

NEW QUESTION: 3
You currently have a single on-premises Kafka cluster in a data center in the us-east region that is responsible for ingesting messages from IoT devices globally. Because large parts of globe have poor internet connectivity, messages sometimes batch at the edge, come in all at once, and cause a spike in load on your Kafka cluster. This is becoming difficult to manage and prohibitively expensive. What is the Google-recommended cloud native architecture for this scenario?
A. A Kafka cluster virtualized on Compute Engine in us-east with Cloud Load Balancing to connect to the devices around the world.
B. Cloud Dataflow connected to the Kafka cluster to scale the processing of incoming messages.
C. Edge TPUs as sensor devices for storing and transmitting the messages.
D. An IoT gateway connected to Cloud Pub/Sub, with Cloud Dataflow to read and process the messages from Cloud Pub/Sub.
Answer: D