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NEW QUESTION: 1
あなたは世界的な海運会社で働いています。 40 TBのデータでモデルをトレーニングして、各地理的地域のどの船が特定の日に配達遅延を引き起こす可能性があるかを予測する必要があります。モデルは、複数のソースから収集された複数の属性に基づいています。 GeoJSON形式の位置を含むテレメトリデータは、各船から取得され、1時間ごとに読み込まれます。地域内で遅延を引き起こす可能性のある船の数と数を示すダッシュボードが必要です。予測と地理空間処理のためのネイティブ機能を備えたストレージソリューションを使用したいと考えています。どのストレージソリューションを使用する必要がありますか？
A. Cloud SQL for PostgreSQL
B. クラウドデータストア
C. Cloud Bigtable
D. BigQuery
Answer: D
NEW QUESTION: 2
What is the best way to keep the CI which are not rediscovered in the last 30 days up to date.
Response:
A. Business Rules
B. Data Policies.
C. Scheduled Jobs
Answer: C
NEW QUESTION: 3
You have enabled the Slow Query Log for a short period.
When you process the Slow Query Log, you receive the following snip of output:
Count: 100 Time=0 .22a (22s) Lock=0.00s (0s) Rows=0.0 (0), root[root] @localhost
CREATE TABLE 't1' (id serial,id0 varchar(N) unique key,intcaoll INT (N)
,intco12 INT(N) ,intco13 INT(N) ,intco14 INT(N) ,intco15 INT(N)
,charcol1 VARVHAR(N) ,charcol2 VARCHAR(N) charcol3 VARCHAR (N)
,charcol4 VARVHAR(N) ,charcol5 VARCHAR(N) charcol6 VARCHAR (N)
,charcol7 VARVHAR(N) ,charcol8 VARCHAR(N) charcol9 VARCHAR (N) .charcol 10 VACHAR
(N) )
Count: 64000 Time-0.02s (1213s) Lock=0.00s (6s) Rows=1.0 (64000), root [root]@ localhost
SELECT intocl1, intco12, intco13, intco14, intco15, intco16,intco17, intco18
,intcol9, intcol10, charcol1, charcol2, charcol3, charcol4, charcol5, charcol6
,charcol7, charcol8, charcol9, charcol10 FROM t1 WHERE id = 's'
Count: 1 Time=0.02s (0s) Lock=0.00s (0s) Rows=1.0 (1) agent [agent] @localhost
SELECT Select_priv, Repl_client_priv, Show_db_priv, Super_priv,
Process_priv FROM mysql.user WHERE CONCAT (user, 's', host) = CURRENT_USER ()
Count: 48000 Time=0.02s (778s) Lock=0.00 (3s) Rows=1.0 (48000), root[root]@localhost
SELECT intocl1,intcol2,intcol3, intcol4, intcol5, charcol1, charcol2, charcol3
,charcol4, charcol5, charcol6, charcol7, charcol8, charcol9, charcol10 FROM t1 WHERE id = 's'
You want to tune the query such that it provides the greatest overall time savings.
Which query will accomplish this?
A. CHEATE TABLE 't1' (id serial, id0 varchar (N) unique key, intcol1 INT (N)
,intcol2 INT (N), intcol3 INT(N) ,intcol4 INT(N), intcol5 INT(N), charool1 VARCHAR
(N)
,charcol2 VARCHAR (N), charcol3 VARCHAR(N), charcol4 VARCHAR(N), charcol5 VARCHAR
(N)
,charcol6 VARCHAR (N), charcol7 VARCHAR(N), charcol8 VARCHAR(N), charcol9 VARCHAR
(N)
,charcol10 VARCHAR (N);
B. SELECT intcol1, intcol2, intcol3, intcol4, intcol5, intcol6, intcol7, intcol8, intcol9,
Intcol10, intcol11, intcol12, intcol13, intcol14, intcol15, intcol16, intcol17, intcol18, intcol19,
charcol10
FROM t1
WHERE id = 's';
C. SELECT intcol1, intcol2, intcol3, intcol4, intcol5, charcol1, charcol2, charcol3, charcol4,
charcol5, charcol6, charcol7, charcol8, charcol9, charcol10
FROM t1
WHERE id = 's';
D. SELECT Select_priv, Repl_client_priv, Show_db_priv, Super_priv, Process_priv
FROM mysql.user
WHERE CONCAT (user,'s', host) = CURRENT_USER();
Answer: A
NEW QUESTION: 4
空白を埋めてPythonスクリプトを完成させ、Pythonリクエストライブラリのインポートリクエストを使用してルームのWebex Teamsメンバーシップを更新します
Answer:
Explanation:
request, headers , payload