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NEW QUESTION: 1
Companies in the U.S. with a nationwide over-the-counter/field bank collection and concentration system often deal with:
A. one major bank with corresponding relationships.
B. many small financial institutions.
C. few small financial institutions.
D. one major banking institution with branch offices at all locations.
Answer: B
NEW QUESTION: 2
ネットワークエンジニアは、最適なエンドツーエンドの遅延帯域幅積を確保したいと考えています。遅延は64 KB未満です。
どのTCP機能が定常状態のスループットを保証しますか？
A. ネットワークバッファ
B. 往復タイマー
C. ウィンドウの拡大縮小
D. TCPの確認応答
Answer: C
NEW QUESTION: 3
What happens when you attempt to compile and run the following code?
# include <deque>
# include <iostream>
# include <algorithm>
#include <functional>
using namespace std;
class B { int val;
public:
B(int v=0):val(v){}
int getV() const {return val;}
B operator +(const B &b )const { return B(val + b.val);} };
ostream & operator <<(ostream & out, const B & v) { out<<v.getV(); return out;} template<class T>struct Out {
ostream & out;
Out(ostream & o): out(o){}
void operator() (const T & val ) { out<<val<<" "; } };
template<typename A>
struct Add : public binary_function<A, A, A> {
A operator() (const A & a, const A & b) const { return a+b; } };
int main() {
int t[]={1,2,3,4,5,6,7,8,9,10};
deque<B> d1(t, t+10);
deque<B> d2(10);
transform(d1.begin(), d1.end(), d2.begin(), bind2nd(Add<B>(), 1));
for_each(d2.rbegin(), d2.rend(), Out<B>(cout));cout<<endl;
return 0;
}
Program outputs:
A. 1 2 3 4 5 6 7 8 9 10
B. 11 10 9 8 7 6 5 4 3 2
C. compilation error
D. 2 3 4 5 6 7 8 9 10 11
E. 10 9 8 7 6 5 4 3 2 1
Answer: B
NEW QUESTION: 4
Case Study: 1 - Mountkirk Games Case Study
Company Overview
Mountkirk Games makes online, session-based. multiplayer games for the most popular mobile platforms.
Company Background
Mountkirk Games builds all of their games with some server-side integration and has historically used cloud providers to lease physical servers. A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools.
Mountkirk's current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics and take advantage of its autoscaling server environment and integrate with a managed NoSQL database.
Technical Requirements
Requirements for Game Backend Platform
1. Dynamically scale up or down based on game activity.
2. Connect to a managed NoSQL database service.
3. Run customized Linx distro.
Requirements for Game Analytics Platform
1. Dynamically scale up or down based on game activity.
2. Process incoming data on the fly directly from the game servers.
3. Process data that arrives late because of slow mobile networks.
4. Allow SQL queries to access at least 10 TB of historical data.
5. Process files that are regularly uploaded by users' mobile devices.
6. Use only fully managed services
CEO Statement
Our last successful game did not scale well with our previous cloud provider, resuming in lower user adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt the gams to target users.
CTO Statement
Our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.
CFO Statement
We are not capturing enough user demographic data usage metrics, and other KPIs. As a result, we do not engage the right users. We are not confident that our marketing is targeting the right users, and we are not selling enough premium Blast-Ups inside the games, which dramatically impacts our revenue.
For this question, refer to the Mountkirk Games case study. Mountkirk Games' gaming servers are not automatically scaling properly. Last month, they rolled out a new feature, which suddenly became very popular. A record number of users are trying to use the service, but many of them are getting 503 errors and very slow response times. What should they investigate first?
A. Verify that the new feature code did not introduce any performance bugs.
B. Verify that the project quota hasn't been exceeded.
C. Verify that the database is online.
D. Verify that the load-testing team is not running their tool against production.
Answer: C
Explanation:
503 is service unavailable error. If the database was online everyone would get the 503 error.
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