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NEW QUESTION: 1
Which of the following is a web application vulnerability?
A. Distributed Denial of Service attack (DDoS)
B. DNS poisoning
C. Parameter injection
D. Multiple open server ports
Answer: C
NEW QUESTION: 2
SIMULATION
Configure autofs.
Configure the autofs automatically mount to the home directory of LDAP, as required:
server.domain11.example.com use NFS to share the home to your system. This file system contains a pre configured home directory of user ldapuserX.
Home directory of ldapuserX is:
server.domain11.example.com /home/guests/ldapuser
Home directory of ldapuserX should automatically mount to the ldapuserX of the local /home/guests Home directory's write permissions must be available for users ldapuser1's password is password
Answer:
Explanation:
See explanation below.
Explanation/Reference:
Explanation: yum install -y autofs
mkdir /home/rehome
/etc/auto.master
/home/rehome/etc/auto.ldap
Keep then exit
cp /etc/auto.misc /etc/auto.ldap
/etc/auto.ldap
ldapuserX -fstype=nfs,rw server.domain11.example.com:/home/guests/
Keep then exit
systemctl start autofs
systemctl enable autofs
su - ldapuserX// test
If the above solutions cannot create files or the command prompt is -bash-4.2$, it maybe exist multi-level directory, this needs to change the server.domain11.example.com:/home/guests/ to server.domain11.example.com:/home/guests/ldapuserX. What is multi-level directory? It means there is a directory of ldapuserX under the /home/guests/ldapuserX in the questions. This directory is the real directory.
NEW QUESTION: 3
この質問については、TerramEarthのケーススタディを参照してください。すべての受信データをBigQueryに書き込む新しいアーキテクチャが導入されました。データが汚れていることに気付き、コストを管理しながら、毎日自動化されたデータ品質を確保したいと考えています。
あなたは何をするべきか？
A. ストリーミングCloud Dataflowジョブをセットアップし、取り込みプロセスでデータを受信します。 Cloud Dataflowパイプラインのデータをクリーンアップします。
B. BigQueryのデータにSQLステートメントを作成し、ビューとして保存します。ビューを毎日実行し、結果を新しいテーブルに保存します。
C. BigQueryからデータを読み取り、クリーンアップするクラウド関数を作成します。それをトリガーします。 Compute Engineインスタンスからクラウド機能をトリガーします。
D. Cloud Dataprepを使用して、BigQueryテーブルをソースとして構成します。データを消去するために毎日のジョブをスケジュールします。
Answer: D