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NEW QUESTION: 1
You are debugging an application that calculates loan interest. The application includes the following code.
(Line numbers are included for reference only.)
You have the following requirements:
The debugger must break execution within the Calculatelnterest()method when the
loanAmountvariable is less than or equal to zero.
The release version of the code must not be impacted by any changes.
You need to meet the requirements.
What should you do?
A. Insert the following code segment at line 03: Debug.Assert(loanAmount > 0);
B. Insert the following code segment at line 05: Trace.Write(loanAmount > 0);
C. Insert the following code segment at tine 05: Debug.Write(loanAmount > 0);
D. Insert the following code segment at line 03: Trace.Assert(loanAmount > 0);
Answer: A
Explanation:
Explanation/Reference:
Explanation:
By default, the Debug.Assert method works only in debug builds. Use the Trace.Assert method if you want
to do assertions in release builds. For more information, see Assertions in Managed Code.
References: http://msdn.microsoft.com/en-us/library/kssw4w7z.aspx
NEW QUESTION: 2
View the Exhibit and examine the structure of the CUSTOMERS table. Evaluate the following SQL statement:
Which statement is true regarding the outcome of the above query?
A. It executes successfully.
B. It returns an error because WHERE and HAVING clauses cannot be used in the same SELECT statement.
C. It returns an error because the BETWEEN operator cannot be used in the HAVING clause.
D. It returns an error because WHERE and HAVING clauses cannot be used to apply conditions on the same column.
Answer: A
NEW QUESTION: 3
ユーザーがカスタムデータメトリクスをCloudWatchに送信しています。カスタムメトリック用に公開された各データポイントの許容タイムスタンプの粒度はどれくらいですか？
A. 1ミリ秒
B. 1ナノ秒
C. 1秒
D. 1分
Answer: A
Explanation:
The user is allowed to send data up to one-thousandth of a second. CloudWatch aggregates the data by each minute and generates a metric for that.
Reference:
http://docs.aws.amazon.com/AmazonCloudWatch/latest/DeveloperGuide/publishingMetrics.html
NEW QUESTION: 4
カスタマーサポートツールは、保持と分析のために、すべてのメールとチャットの会話をCloud Bigtableに記録します。
最初に保存する前に、個人を特定できる情報または支払いカード情報のこのデータをサニタイズするための推奨されるアプローチは何ですか？
A. Cloud Data Loss Prevention APIを使用してデータの識別を解除します
B. 楕円曲線暗号を使用してすべてのデータを暗号化します
C. 正規表現を使用して、電話番号、メールアドレス、クレジットカード番号を検索および編集します
D. SHA256を使用してすべてのデータをハッシュします
Answer: A
Explanation:
参照：https://cloud.google.com/solutions/pci-dss-compliance-ingcp# using_data_loss_prevention_api_to_sanitize_data